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 : 342

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 : 0.11574053764343262
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
Sat Mar 15 00:35:26 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Beginning of datou step mask_detect !
save_polygon : True

 begin detect 

begin to check gpu status 
inside check gpu memory
havn't enough memory gpu , need / 3000
l 3632 free memory gpu now : 342
wait 20 seconds
l 3637 free memory gpu now : 342  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
2025-03-15 00:35:49.640876: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-03-15 00:35:49.667137: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz
2025-03-15 00:35:49.669354: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7faf0c000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-03-15 00:35:49.669434: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-03-15 00:35:49.673485: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-03-15 00:35:49.904883: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0xdd4d1f0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-03-15 00:35:49.904933: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-03-15 00:35:49.905834: 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
2025-03-15 00:35:49.906291: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-03-15 00:35:49.909477: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-03-15 00:35:49.912631: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-03-15 00:35:49.913082: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-03-15 00:35:49.916151: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-03-15 00:35:49.917566: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-03-15 00:35:49.922749: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-03-15 00:35:49.923653: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-03-15 00:35:49.923734: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-03-15 00:35:49.924220: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-03-15 00:35:49.924234: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-03-15 00:35:49.924243: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-03-15 00:35:49.924936: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 190 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
2025-03-15 00:35:50.567107: 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
2025-03-15 00:35:50.567207: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-03-15 00:35:50.567239: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-03-15 00:35:50.567269: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-03-15 00:35:50.567297: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-03-15 00:35:50.567324: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-03-15 00:35:50.567368: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-03-15 00:35:50.567398: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-03-15 00:35:50.568408: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-03-15 00:35:50.569202: 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
2025-03-15 00:35:50.569233: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-03-15 00:35:50.569248: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-03-15 00:35:50.569262: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-03-15 00:35:50.569276: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-03-15 00:35:50.569290: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-03-15 00:35:50.569304: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-03-15 00:35:50.569318: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-03-15 00:35:50.569965: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-03-15 00:35:50.569993: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-03-15 00:35:50.570002: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-03-15 00:35:50.570010: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-03-15 00:35:50.570737: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 190 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
2025-03-15 00:35:51.461956: 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
2025-03-15 00:35:51.462468: 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
2025-03-15 00:35:51.462928: 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
2025-03-15 00:35:51.463378: 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
2025-03-15 00:35:51.463829: 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
2025-03-15 00:35:51.464281: 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
2025-03-15 00:35:51.464737: 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
2025-03-15 00:35:51.465182: 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
2025-03-15 00:35:51.465631: 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
2025-03-15 00:35:51.466095: 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
2025-03-15 00:35:51.466551: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 11.16M (11700480 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:35:51.467028: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 10.04M (10530560 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:35:51.467519: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 9.04M (9477632 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:35:51.468029: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 8.13M (8529920 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:35:51.468521: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 7.32M (7676928 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:35:51.469004: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 6.59M (6909440 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:35:51.469515: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 5.93M (6218496 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:35:51.470026: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 5.34M (5596672 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:35:51.470536: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.80M (5037056 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:35:51.471056: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.32M (4533504 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:35:51.505129: 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
2025-03-15 00:35:51.505620: 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
2025-03-15 00:36:01.506706: 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
2025-03-15 00:36:01.507614: 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
2025-03-15 00:36:01.507664: 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.
2025-03-15 00:36:01.507694: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc
2025-03-15 00:36:01.507715: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (256): 	Total Chunks: 60, Chunks in use: 60. 15.0KiB allocated for chunks. 15.0KiB in use in bin. 8.8KiB client-requested in use in bin.
2025-03-15 00:36:01.507732: 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.
2025-03-15 00:36:01.507749: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1024): 	Total Chunks: 66, Chunks in use: 66. 66.2KiB allocated for chunks. 66.2KiB in use in bin. 66.0KiB client-requested in use in bin.
2025-03-15 00:36:01.507765: 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.
2025-03-15 00:36:01.507782: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4096): 	Total Chunks: 25, Chunks in use: 25. 103.5KiB allocated for chunks. 103.5KiB in use in bin. 100.0KiB client-requested in use in bin.
2025-03-15 00:36:01.507820: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8192): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-03-15 00:36:01.507837: 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.
2025-03-15 00:36:01.507853: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (32768): 	Total Chunks: 2, Chunks in use: 1. 81.5KiB allocated for chunks. 36.8KiB in use in bin. 36.8KiB client-requested in use in bin.
2025-03-15 00:36:01.507870: 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.
2025-03-15 00:36:01.507886: 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.
2025-03-15 00:36:01.507902: 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.
2025-03-15 00:36:01.507917: 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.
2025-03-15 00:36:01.507934: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1048576): 	Total Chunks: 10, Chunks in use: 8. 10.88MiB allocated for chunks. 8.62MiB in use in bin. 8.00MiB client-requested in use in bin.
2025-03-15 00:36:01.507950: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2097152): 	Total Chunks: 6, Chunks in use: 6. 15.39MiB allocated for chunks. 15.39MiB in use in bin. 13.25MiB client-requested in use in bin.
2025-03-15 00:36:01.507964: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4194304): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-03-15 00:36:01.507978: 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.
2025-03-15 00:36:01.507992: 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.
2025-03-15 00:36:01.508006: 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.
2025-03-15 00:36:01.508020: 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.
2025-03-15 00:36:01.508034: 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.
2025-03-15 00:36:01.508048: 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.
2025-03-15 00:36:01.508063: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 
2025-03-15 00:36:01.508076: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216
2025-03-15 00:36:01.508094: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad26000000 of size 2359296 next 181
2025-03-15 00:36:01.508108: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad26240000 of size 2097152 next 196
2025-03-15 00:36:01.508121: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad26440000 of size 1048576 next 216
2025-03-15 00:36:01.508144: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7fad26540000 of size 1310720 next 209
2025-03-15 00:36:01.508157: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad26680000 of size 2359296 next 208
2025-03-15 00:36:01.508170: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad268c0000 of size 1048576 next 234
2025-03-15 00:36:01.508183: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad269c0000 of size 1310720 next 228
2025-03-15 00:36:01.508195: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad26b00000 of size 2359296 next 227
2025-03-15 00:36:01.508208: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad26d40000 of size 2883584 next 18446744073709551615
2025-03-15 00:36:01.508221: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 4080384
2025-03-15 00:36:01.508234: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad27000000 of size 4080384 next 18446744073709551615
2025-03-15 00:36:01.508246: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152
2025-03-15 00:36:01.508260: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28600000 of size 147456 next 55
2025-03-15 00:36:01.508272: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28624000 of size 65536 next 78
2025-03-15 00:36:01.508286: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28634000 of size 4096 next 191
2025-03-15 00:36:01.508298: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28635000 of size 4096 next 192
2025-03-15 00:36:01.508311: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28636000 of size 4096 next 193
2025-03-15 00:36:01.508324: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28637000 of size 256 next 194
2025-03-15 00:36:01.508336: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28637100 of size 256 next 195
2025-03-15 00:36:01.508349: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28637200 of size 4096 next 197
2025-03-15 00:36:01.508361: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28638200 of size 4096 next 198
2025-03-15 00:36:01.508374: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28639200 of size 4096 next 199
2025-03-15 00:36:01.508387: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad2863a200 of size 4096 next 200
2025-03-15 00:36:01.508399: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad2863b200 of size 4096 next 201
2025-03-15 00:36:01.508412: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad2863c200 of size 1024 next 202
2025-03-15 00:36:01.508425: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad2863c600 of size 1024 next 204
2025-03-15 00:36:01.508437: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad2863ca00 of size 1024 next 205
2025-03-15 00:36:01.508450: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad2863ce00 of size 1024 next 206
2025-03-15 00:36:01.508462: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad2863d200 of size 1024 next 207
2025-03-15 00:36:01.508475: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad2863d600 of size 1024 next 210
2025-03-15 00:36:01.508487: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad2863da00 of size 1024 next 211
2025-03-15 00:36:01.508500: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad2863de00 of size 1024 next 212
2025-03-15 00:36:01.508512: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad2863e200 of size 1024 next 213
2025-03-15 00:36:01.508524: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad2863e600 of size 1024 next 214
2025-03-15 00:36:01.508537: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad2863ea00 of size 4096 next 215
2025-03-15 00:36:01.508559: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad2863fa00 of size 4096 next 217
2025-03-15 00:36:01.508572: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28640a00 of size 4096 next 218
2025-03-15 00:36:01.508584: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28641a00 of size 4096 next 219
2025-03-15 00:36:01.508597: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28642a00 of size 4096 next 220
2025-03-15 00:36:01.508610: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28643a00 of size 1024 next 221
2025-03-15 00:36:01.508622: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28643e00 of size 1024 next 223
2025-03-15 00:36:01.508635: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28644200 of size 1024 next 224
2025-03-15 00:36:01.508647: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28644600 of size 1024 next 225
2025-03-15 00:36:01.508660: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28644a00 of size 1024 next 226
2025-03-15 00:36:01.508672: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28644e00 of size 1024 next 229
2025-03-15 00:36:01.508684: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28645200 of size 1024 next 230
2025-03-15 00:36:01.508697: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28645600 of size 1024 next 231
2025-03-15 00:36:01.508709: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28645a00 of size 1024 next 232
2025-03-15 00:36:01.508722: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28645e00 of size 1024 next 233
2025-03-15 00:36:01.508735: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28646200 of size 7680 next 72
2025-03-15 00:36:01.508747: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28648000 of size 147456 next 71
2025-03-15 00:36:01.508760: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad2866c000 of size 131072 next 87
2025-03-15 00:36:01.508773: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7fad2868c000 of size 262144 next 103
2025-03-15 00:36:01.508786: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad286cc000 of size 262144 next 102
2025-03-15 00:36:01.508798: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7fad2870c000 of size 999424 next 18446744073709551615
2025-03-15 00:36:01.508811: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 4194304
2025-03-15 00:36:01.508824: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28800000 of size 589824 next 96
2025-03-15 00:36:01.508837: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28890000 of size 262144 next 117
2025-03-15 00:36:01.508849: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7fad288d0000 of size 262144 next 112
2025-03-15 00:36:01.508862: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28910000 of size 524288 next 111
2025-03-15 00:36:01.508875: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28990000 of size 262144 next 135
2025-03-15 00:36:01.508888: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad289d0000 of size 327680 next 124
2025-03-15 00:36:01.508900: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28a20000 of size 589824 next 123
2025-03-15 00:36:01.508913: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28ab0000 of size 262144 next 152
2025-03-15 00:36:01.508925: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28af0000 of size 327680 next 142
2025-03-15 00:36:01.508938: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28b40000 of size 786432 next 18446744073709551615
2025-03-15 00:36:01.508951: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 8388608
2025-03-15 00:36:01.508973: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7fad28c00000 of size 589824 next 160
2025-03-15 00:36:01.508986: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28c90000 of size 589824 next 158
2025-03-15 00:36:01.508998: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28d20000 of size 524288 next 171
2025-03-15 00:36:01.509011: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7fad28da0000 of size 1048576 next 222
2025-03-15 00:36:01.509023: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28ea0000 of size 1048576 next 190
2025-03-15 00:36:01.509036: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad28fa0000 of size 1048576 next 189
2025-03-15 00:36:01.509048: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad290a0000 of size 1048576 next 203
2025-03-15 00:36:01.509061: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad291a0000 of size 1048576 next 250
2025-03-15 00:36:01.509074: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad292a0000 of size 1441792 next 18446744073709551615
2025-03-15 00:36:01.509086: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 1048576
2025-03-15 00:36:01.509099: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e00000 of size 1280 next 1
2025-03-15 00:36:01.509112: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e00500 of size 256 next 5
2025-03-15 00:36:01.509124: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e00600 of size 256 next 8
2025-03-15 00:36:01.509137: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e00700 of size 256 next 9
2025-03-15 00:36:01.509149: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e00800 of size 256 next 10
2025-03-15 00:36:01.509162: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e00900 of size 256 next 11
2025-03-15 00:36:01.509174: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e00a00 of size 256 next 12
2025-03-15 00:36:01.509187: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e00b00 of size 256 next 13
2025-03-15 00:36:01.509199: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e00c00 of size 256 next 17
2025-03-15 00:36:01.509212: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e00d00 of size 256 next 19
2025-03-15 00:36:01.509225: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e00e00 of size 256 next 20
2025-03-15 00:36:01.509237: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e00f00 of size 256 next 21
2025-03-15 00:36:01.509249: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e01000 of size 256 next 22
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2025-03-15 00:36:01.510888: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e26d00 of size 2048 next 170
2025-03-15 00:36:01.510914: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e27500 of size 1024 next 172
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2025-03-15 00:36:01.510978: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e28900 of size 256 next 178
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2025-03-15 00:36:01.511041: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e29700 of size 1024 next 184
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2025-03-15 00:36:01.511076: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e29f00 of size 256 next 187
2025-03-15 00:36:01.511088: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e2a000 of size 256 next 188
2025-03-15 00:36:01.511101: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e2a100 of size 4096 next 186
2025-03-15 00:36:01.511113: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e2b100 of size 4096 next 42
2025-03-15 00:36:01.511126: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e2c100 of size 65536 next 36
2025-03-15 00:36:01.511138: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e3c100 of size 65536 next 35
2025-03-15 00:36:01.511151: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e4c100 of size 4096 next 235
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2025-03-15 00:36:01.511188: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e4f100 of size 4096 next 238
2025-03-15 00:36:01.511201: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e50100 of size 1024 next 239
2025-03-15 00:36:01.511213: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e50500 of size 1024 next 240
2025-03-15 00:36:01.511226: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e50900 of size 1024 next 241
2025-03-15 00:36:01.511238: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e50d00 of size 1024 next 242
2025-03-15 00:36:01.511250: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e51100 of size 1024 next 243
2025-03-15 00:36:01.511263: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e51500 of size 1024 next 245
2025-03-15 00:36:01.511275: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e51900 of size 1024 next 246
2025-03-15 00:36:01.511288: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e51d00 of size 1024 next 247
2025-03-15 00:36:01.511300: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e52100 of size 1024 next 248
2025-03-15 00:36:01.511313: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e52500 of size 1024 next 249
2025-03-15 00:36:01.511325: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e52900 of size 4096 next 251
2025-03-15 00:36:01.511338: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e53900 of size 4096 next 252
2025-03-15 00:36:01.511350: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e54900 of size 4096 next 253
2025-03-15 00:36:01.511363: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e55900 of size 4096 next 254
2025-03-15 00:36:01.511375: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e56900 of size 4096 next 255
2025-03-15 00:36:01.511388: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e57900 of size 1024 next 256
2025-03-15 00:36:01.511400: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e57d00 of size 1024 next 257
2025-03-15 00:36:01.511413: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e58100 of size 1024 next 258
2025-03-15 00:36:01.511425: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e58500 of size 1024 next 259
2025-03-15 00:36:01.511438: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e58900 of size 1024 next 260
2025-03-15 00:36:01.511450: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e58d00 of size 256 next 261
2025-03-15 00:36:01.511463: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7fae64e58e00 of size 45824 next 27
2025-03-15 00:36:01.511484: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e64100 of size 147456 next 26
2025-03-15 00:36:01.511497: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e88100 of size 65536 next 47
2025-03-15 00:36:01.511509: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e98100 of size 65536 next 59
2025-03-15 00:36:01.511522: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64ea8100 of size 65536 next 65
2025-03-15 00:36:01.511535: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64eb8100 of size 294656 next 18446744073709551615
2025-03-15 00:36:01.511547: I tensorflow/core/common_runtime/bfc_allocator.cc:995]      Summary of in-use Chunks by size: 
2025-03-15 00:36:01.511563: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 60 Chunks of size 256 totalling 15.0KiB
2025-03-15 00:36:01.511578: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB
2025-03-15 00:36:01.511592: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 65 Chunks of size 1024 totalling 65.0KiB
2025-03-15 00:36:01.511605: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB
2025-03-15 00:36:01.511619: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB
2025-03-15 00:36:01.511633: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 24 Chunks of size 4096 totalling 96.0KiB
2025-03-15 00:36:01.511646: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB
2025-03-15 00:36:01.511660: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB
2025-03-15 00:36:01.511674: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB
2025-03-15 00:36:01.511688: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB
2025-03-15 00:36:01.511702: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB
2025-03-15 00:36:01.511716: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB
2025-03-15 00:36:01.511730: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB
2025-03-15 00:36:01.511743: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB
2025-03-15 00:36:01.511757: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB
2025-03-15 00:36:01.511771: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB
2025-03-15 00:36:01.511784: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB
2025-03-15 00:36:01.511798: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB
2025-03-15 00:36:01.511812: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 1048576 totalling 6.00MiB
2025-03-15 00:36:01.511825: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1310720 totalling 1.25MiB
2025-03-15 00:36:01.511839: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB
2025-03-15 00:36:01.511852: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB
2025-03-15 00:36:01.511866: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 2359296 totalling 6.75MiB
2025-03-15 00:36:01.511879: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB
2025-03-15 00:36:01.511893: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 4080384 totalling 3.89MiB
2025-03-15 00:36:01.511907: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 30.58MiB
2025-03-15 00:36:01.511929: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 36586240 memory_limit_: 200146944 available bytes: 163560704 curr_region_allocation_bytes_: 67108864
2025-03-15 00:36:01.511947: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: 
Limit:                   200146944
InUse:                    32067584
MaxInUse:                 32067584
NumAllocs:                     825
MaxAllocSize:              4325376

2025-03-15 00:36:01.511970: W tensorflow/core/common_runtime/bfc_allocator.cc:439] ****************__***********************************xxxx****_************x****__*******************
2025-03-15 00:36:01.512027: 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:Mul]
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 : 0.15649652481079102
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
Sat Mar 15 00:36:02 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 : 342
wait 20 seconds
l 3637 free memory gpu now : 342  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
2025-03-15 00:36:25.575698: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-03-15 00:36:25.583898: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz
2025-03-15 00:36:25.585234: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7faf0c000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-03-15 00:36:25.585283: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-03-15 00:36:25.588256: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-03-15 00:36:25.840180: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0xdd506b0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-03-15 00:36:25.840232: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-03-15 00:36:25.841170: 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
2025-03-15 00:36:25.841601: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-03-15 00:36:25.844617: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-03-15 00:36:25.847699: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-03-15 00:36:25.848244: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-03-15 00:36:25.851844: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-03-15 00:36:25.852942: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-03-15 00:36:25.858351: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-03-15 00:36:25.859365: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-03-15 00:36:25.859469: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-03-15 00:36:25.859973: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-03-15 00:36:25.859990: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-03-15 00:36:25.860000: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-03-15 00:36:25.860758: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 190 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
2025-03-15 00:36:26.657695: 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
2025-03-15 00:36:26.657804: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-03-15 00:36:26.657839: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-03-15 00:36:26.657857: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-03-15 00:36:26.657874: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-03-15 00:36:26.657891: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-03-15 00:36:26.657908: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-03-15 00:36:26.657926: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-03-15 00:36:26.658617: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-03-15 00:36:26.659747: 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
2025-03-15 00:36:26.659810: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-03-15 00:36:26.659826: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-03-15 00:36:26.659841: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-03-15 00:36:26.659856: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-03-15 00:36:26.659870: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-03-15 00:36:26.659885: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-03-15 00:36:26.659900: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-03-15 00:36:26.660564: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-03-15 00:36:26.660609: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-03-15 00:36:26.660618: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-03-15 00:36:26.660627: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-03-15 00:36:26.661583: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 190 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
2025-03-15 00:36:27.655550: 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
2025-03-15 00:36:27.656123: 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
2025-03-15 00:36:27.656636: 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
2025-03-15 00:36:27.657133: 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
2025-03-15 00:36:27.657628: 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
2025-03-15 00:36:27.658125: 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
2025-03-15 00:36:27.658625: 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
2025-03-15 00:36:27.659148: 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
2025-03-15 00:36:27.659649: 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
2025-03-15 00:36:27.660142: 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
2025-03-15 00:36:27.660614: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 11.16M (11700480 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:36:27.661097: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 10.04M (10530560 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:36:27.661620: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 9.04M (9477632 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:36:27.662155: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 8.13M (8529920 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:36:27.662708: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 7.32M (7676928 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:36:27.663279: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 6.59M (6909440 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:36:27.663848: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 5.93M (6218496 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:36:27.664402: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 5.34M (5596672 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:36:27.664930: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.80M (5037056 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:36:27.665492: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.32M (4533504 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-03-15 00:36:27.724841: 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
2025-03-15 00:36:27.726025: 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
2025-03-15 00:36:37.727144: 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
2025-03-15 00:36:37.727992: 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
2025-03-15 00:36:37.728029: 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.
2025-03-15 00:36:37.728055: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc
2025-03-15 00:36:37.728074: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (256): 	Total Chunks: 60, Chunks in use: 60. 15.0KiB allocated for chunks. 15.0KiB in use in bin. 8.8KiB client-requested in use in bin.
2025-03-15 00:36:37.728089: 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.
2025-03-15 00:36:37.728105: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1024): 	Total Chunks: 66, Chunks in use: 66. 66.2KiB allocated for chunks. 66.2KiB in use in bin. 66.0KiB client-requested in use in bin.
2025-03-15 00:36:37.728141: 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.
2025-03-15 00:36:37.728156: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4096): 	Total Chunks: 25, Chunks in use: 25. 103.5KiB allocated for chunks. 103.5KiB in use in bin. 100.0KiB client-requested in use in bin.
2025-03-15 00:36:37.728172: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8192): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-03-15 00:36:37.728187: 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.
2025-03-15 00:36:37.728202: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (32768): 	Total Chunks: 2, Chunks in use: 1. 81.5KiB allocated for chunks. 36.8KiB in use in bin. 36.8KiB client-requested in use in bin.
2025-03-15 00:36:37.728217: 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.
2025-03-15 00:36:37.728232: 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.
2025-03-15 00:36:37.728246: 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.
2025-03-15 00:36:37.728261: 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.
2025-03-15 00:36:37.728275: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1048576): 	Total Chunks: 10, Chunks in use: 8. 10.88MiB allocated for chunks. 8.62MiB in use in bin. 8.00MiB client-requested in use in bin.
2025-03-15 00:36:37.728291: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2097152): 	Total Chunks: 6, Chunks in use: 6. 15.39MiB allocated for chunks. 15.39MiB in use in bin. 13.25MiB client-requested in use in bin.
2025-03-15 00:36:37.728304: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4194304): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-03-15 00:36:37.728317: 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.
2025-03-15 00:36:37.728329: 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.
2025-03-15 00:36:37.728343: 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.
2025-03-15 00:36:37.728355: 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.
2025-03-15 00:36:37.728368: 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.
2025-03-15 00:36:37.728381: 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.
2025-03-15 00:36:37.728404: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 
2025-03-15 00:36:37.728416: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216
2025-03-15 00:36:37.728433: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad24000000 of size 2359296 next 181
2025-03-15 00:36:37.728446: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad24240000 of size 2097152 next 196
2025-03-15 00:36:37.728457: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad24440000 of size 1048576 next 216
2025-03-15 00:36:37.728469: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7fad24540000 of size 1310720 next 209
2025-03-15 00:36:37.728481: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad24680000 of size 2359296 next 208
2025-03-15 00:36:37.728493: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad248c0000 of size 1048576 next 234
2025-03-15 00:36:37.728505: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad249c0000 of size 1310720 next 228
2025-03-15 00:36:37.728516: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad24b00000 of size 2359296 next 227
2025-03-15 00:36:37.728528: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad24d40000 of size 2883584 next 18446744073709551615
2025-03-15 00:36:37.728540: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 4080384
2025-03-15 00:36:37.728552: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad25000000 of size 4080384 next 18446744073709551615
2025-03-15 00:36:37.728563: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152
2025-03-15 00:36:37.728575: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fad26600000 of size 147456 next 55
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2025-03-15 00:36:37.730371: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e0fc00 of size 2048 next 108
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2025-03-15 00:36:37.730394: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e10500 of size 256 next 110
2025-03-15 00:36:37.730405: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e10600 of size 2048 next 113
2025-03-15 00:36:37.730417: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e10e00 of size 2048 next 114
2025-03-15 00:36:37.730428: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e11600 of size 2048 next 115
2025-03-15 00:36:37.730439: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e11e00 of size 2048 next 116
2025-03-15 00:36:37.730451: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e12600 of size 2048 next 6
2025-03-15 00:36:37.730462: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e12e00 of size 37632 next 7
2025-03-15 00:36:37.730474: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e1c100 of size 512 next 118
2025-03-15 00:36:37.730485: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e1c300 of size 512 next 119
2025-03-15 00:36:37.730496: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e1c500 of size 512 next 120
2025-03-15 00:36:37.730508: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e1c700 of size 512 next 121
2025-03-15 00:36:37.730519: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e1c900 of size 512 next 122
2025-03-15 00:36:37.730530: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e1cb00 of size 512 next 125
2025-03-15 00:36:37.730542: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e1cd00 of size 512 next 126
2025-03-15 00:36:37.730553: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e1cf00 of size 512 next 127
2025-03-15 00:36:37.730564: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e1d100 of size 512 next 128
2025-03-15 00:36:37.730575: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e1d300 of size 512 next 129
2025-03-15 00:36:37.730587: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e1d500 of size 2048 next 130
2025-03-15 00:36:37.730598: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e1dd00 of size 2048 next 131
2025-03-15 00:36:37.730610: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e1e500 of size 2048 next 132
2025-03-15 00:36:37.730621: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e1ed00 of size 2048 next 133
2025-03-15 00:36:37.730632: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e1f500 of size 2048 next 134
2025-03-15 00:36:37.730644: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e1fd00 of size 512 next 136
2025-03-15 00:36:37.730655: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e1ff00 of size 512 next 137
2025-03-15 00:36:37.730666: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e20100 of size 512 next 138
2025-03-15 00:36:37.730678: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e20300 of size 512 next 139
2025-03-15 00:36:37.730689: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e20500 of size 512 next 140
2025-03-15 00:36:37.730708: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e20700 of size 512 next 141
2025-03-15 00:36:37.730720: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e20900 of size 512 next 143
2025-03-15 00:36:37.730731: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e20b00 of size 512 next 144
2025-03-15 00:36:37.730742: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e20d00 of size 512 next 145
2025-03-15 00:36:37.730753: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e20f00 of size 512 next 146
2025-03-15 00:36:37.730765: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e21100 of size 2048 next 147
2025-03-15 00:36:37.730776: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e21900 of size 2048 next 148
2025-03-15 00:36:37.730787: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e22100 of size 2048 next 149
2025-03-15 00:36:37.730798: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e22900 of size 2048 next 150
2025-03-15 00:36:37.730810: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e23100 of size 2048 next 151
2025-03-15 00:36:37.730821: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e23900 of size 512 next 153
2025-03-15 00:36:37.730833: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e23b00 of size 512 next 154
2025-03-15 00:36:37.730844: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e23d00 of size 512 next 155
2025-03-15 00:36:37.730855: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e23f00 of size 512 next 156
2025-03-15 00:36:37.730867: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e24100 of size 512 next 157
2025-03-15 00:36:37.730878: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e24300 of size 512 next 161
2025-03-15 00:36:37.730889: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e24500 of size 512 next 162
2025-03-15 00:36:37.730929: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e24700 of size 512 next 163
2025-03-15 00:36:37.730941: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e24900 of size 512 next 164
2025-03-15 00:36:37.730952: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e24b00 of size 512 next 165
2025-03-15 00:36:37.730963: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e24d00 of size 2048 next 166
2025-03-15 00:36:37.730975: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e25500 of size 2048 next 167
2025-03-15 00:36:37.730986: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e25d00 of size 2048 next 168
2025-03-15 00:36:37.730997: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e26500 of size 2048 next 169
2025-03-15 00:36:37.731009: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e26d00 of size 2048 next 170
2025-03-15 00:36:37.731020: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e27500 of size 1024 next 172
2025-03-15 00:36:37.731031: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e27900 of size 1024 next 173
2025-03-15 00:36:37.731043: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e27d00 of size 1024 next 174
2025-03-15 00:36:37.731054: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e28100 of size 1024 next 175
2025-03-15 00:36:37.731065: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e28500 of size 1024 next 176
2025-03-15 00:36:37.731076: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e28900 of size 256 next 178
2025-03-15 00:36:37.731088: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e28a00 of size 256 next 179
2025-03-15 00:36:37.731108: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e28b00 of size 1024 next 177
2025-03-15 00:36:37.731119: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e28f00 of size 1024 next 182
2025-03-15 00:36:37.731131: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e29300 of size 1024 next 183
2025-03-15 00:36:37.731142: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e29700 of size 1024 next 184
2025-03-15 00:36:37.731153: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e29b00 of size 1024 next 185
2025-03-15 00:36:37.731164: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e29f00 of size 256 next 187
2025-03-15 00:36:37.731176: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e2a000 of size 256 next 188
2025-03-15 00:36:37.731187: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e2a100 of size 4096 next 186
2025-03-15 00:36:37.731198: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e2b100 of size 4096 next 42
2025-03-15 00:36:37.731210: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e2c100 of size 65536 next 36
2025-03-15 00:36:37.731221: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e3c100 of size 65536 next 35
2025-03-15 00:36:37.731232: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e4c100 of size 4096 next 235
2025-03-15 00:36:37.731244: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e4d100 of size 4096 next 236
2025-03-15 00:36:37.731255: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e4e100 of size 4096 next 237
2025-03-15 00:36:37.731266: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e4f100 of size 4096 next 238
2025-03-15 00:36:37.731278: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e50100 of size 1024 next 239
2025-03-15 00:36:37.731289: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e50500 of size 1024 next 240
2025-03-15 00:36:37.731300: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e50900 of size 1024 next 241
2025-03-15 00:36:37.731311: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e50d00 of size 1024 next 242
2025-03-15 00:36:37.731323: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e51100 of size 1024 next 243
2025-03-15 00:36:37.731334: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e51500 of size 1024 next 245
2025-03-15 00:36:37.731345: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e51900 of size 1024 next 246
2025-03-15 00:36:37.731357: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e51d00 of size 1024 next 247
2025-03-15 00:36:37.731368: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e52100 of size 1024 next 248
2025-03-15 00:36:37.731379: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e52500 of size 1024 next 249
2025-03-15 00:36:37.731390: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e52900 of size 4096 next 251
2025-03-15 00:36:37.731402: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e53900 of size 4096 next 252
2025-03-15 00:36:37.731413: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e54900 of size 4096 next 253
2025-03-15 00:36:37.731424: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e55900 of size 4096 next 254
2025-03-15 00:36:37.731435: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e56900 of size 4096 next 255
2025-03-15 00:36:37.731447: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e57900 of size 1024 next 256
2025-03-15 00:36:37.731458: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e57d00 of size 1024 next 257
2025-03-15 00:36:37.731477: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e58100 of size 1024 next 258
2025-03-15 00:36:37.731489: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e58500 of size 1024 next 259
2025-03-15 00:36:37.731500: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e58900 of size 1024 next 260
2025-03-15 00:36:37.731511: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e58d00 of size 256 next 261
2025-03-15 00:36:37.731523: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7fae64e58e00 of size 45824 next 27
2025-03-15 00:36:37.731534: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e64100 of size 147456 next 26
2025-03-15 00:36:37.731545: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e88100 of size 65536 next 47
2025-03-15 00:36:37.731557: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64e98100 of size 65536 next 59
2025-03-15 00:36:37.731568: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64ea8100 of size 65536 next 65
2025-03-15 00:36:37.731580: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7fae64eb8100 of size 294656 next 18446744073709551615
2025-03-15 00:36:37.731591: I tensorflow/core/common_runtime/bfc_allocator.cc:995]      Summary of in-use Chunks by size: 
2025-03-15 00:36:37.731606: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 60 Chunks of size 256 totalling 15.0KiB
2025-03-15 00:36:37.731619: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB
2025-03-15 00:36:37.731632: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 65 Chunks of size 1024 totalling 65.0KiB
2025-03-15 00:36:37.731644: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB
2025-03-15 00:36:37.731657: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB
2025-03-15 00:36:37.731669: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 24 Chunks of size 4096 totalling 96.0KiB
2025-03-15 00:36:37.731681: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB
2025-03-15 00:36:37.731694: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB
2025-03-15 00:36:37.731706: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB
2025-03-15 00:36:37.731719: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB
2025-03-15 00:36:37.731731: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB
2025-03-15 00:36:37.731744: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB
2025-03-15 00:36:37.731756: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB
2025-03-15 00:36:37.731768: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB
2025-03-15 00:36:37.731781: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB
2025-03-15 00:36:37.731793: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB
2025-03-15 00:36:37.731805: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB
2025-03-15 00:36:37.731818: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB
2025-03-15 00:36:37.731830: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 1048576 totalling 6.00MiB
2025-03-15 00:36:37.731842: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1310720 totalling 1.25MiB
2025-03-15 00:36:37.731855: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB
2025-03-15 00:36:37.731867: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB
2025-03-15 00:36:37.731893: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 2359296 totalling 6.75MiB
2025-03-15 00:36:37.731906: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB
2025-03-15 00:36:37.731919: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 4080384 totalling 3.89MiB
2025-03-15 00:36:37.731931: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 30.58MiB
2025-03-15 00:36:37.731943: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 36586240 memory_limit_: 200146944 available bytes: 163560704 curr_region_allocation_bytes_: 67108864
2025-03-15 00:36:37.731959: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: 
Limit:                   200146944
InUse:                    32067584
MaxInUse:                 32067584
NumAllocs:                     825
MaxAllocSize:              4325376

2025-03-15 00:36:37.731981: W tensorflow/core/common_runtime/bfc_allocator.cc:439] ****************__***********************************xxxx****_************x****__*******************
2025-03-15 00:36:37.732036: 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:Mul]
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_6419193983607b8ec28e462733ffc29d3101ac80
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_6419193983607b8ec28e462733ffc29d3101ac80','{"mask_detection": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/March/15032025/python_test3//data_2/data_log/job/2025/March/15032025/python_test3/log-python3----short_python3--v--marlene-00:35:00.txt','mask_detection','unknown');

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





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


/home/admin/workarea/git/Velours/python/tests/datou_test.py
<module 'tests.datou_test' from '/home/admin/workarea/git/Velours/python/tests/datou_test.py'>
Datou All Test
python version used : 3

############################### TEST sam  ################################
TEST SAM
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4573

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4573
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4573
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4573
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : sam
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (1189321094) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 1189321094
download finish for photo 1189321094
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.6138701438903809
#### 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
Sat Mar 15 00:36:40 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/1741995400_2139157_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png': 1189321094}
map_photo_id_path_extension : {1189321094: {'path': 'temp/1741995400_2139157_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 : 1.0151000022888184
 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 : 2.7049310207366943
time spend to save output : 1.015970230102539
total time spend for step 0 : 3.7209012508392334
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 : 0.3748972415924072
#### 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
Sat Mar 15 00:36:44 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/1741995404_2139157_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg': 917754606}
map_photo_id_path_extension : {917754606: {'path': 'temp/1741995404_2139157_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
E0315 00:36:45.869192 2139157 common.cpp:114] Cannot create Cublas handle. Cublas won't be available.
E0315 00:36:45.885752 2139157 common.cpp:121] Cannot create Curand generator. Curand won't be available.
F0315 00:36:45.902145 2139157 syncedmem.hpp:22] Check failed: error == cudaSuccess (2 vs. 0)  out of memory
*** Check failure stack trace: ***
Command terminated by signal 6
6.54user 6.78system 1:21.67elapsed 16%CPU (0avgtext+0avgdata 1138276maxresident)k
939560inputs+3392outputs (1040major+534274minor)pagefaults 0swaps