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


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


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

############################### TEST memory used  ################################
free memory at begining : 
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 350

run mask_detect

Inside batchDatouExec : verbose : False
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
List Step Type Loaded in datou : mask_detect
list_input_json : []
origin
BFwe have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
time to download the photos : 0.10610651969909668
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 May 10 18:35:28 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Beginning of datou step mask_detect !
save_polygon : True

 begin detect 

begin to check gpu status 
inside check gpu memory
havn't enough memory gpu , need / 3000
l 3632 free memory gpu now : 350
wait 20 seconds
l 3637 free memory gpu now : 350  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
/home/admin/workarea/git/Velours/python/tests/python_tests.py:11: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
  import imp
2025-05-10 18:35:51.316245: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-05-10 18:35:51.343154: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz
2025-05-10 18:35:51.344752: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f8504000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-05-10 18:35:51.344816: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-05-10 18:35:51.347522: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-05-10 18:35:51.606958: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x23e6cb40 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-05-10 18:35:51.606999: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-05-10 18:35:51.607729: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-05-10 18:35:51.608197: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-10 18:35:51.615120: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-10 18:35:51.617318: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-10 18:35:51.617911: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-10 18:35:51.620559: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-10 18:35:51.622175: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-10 18:35:51.628234: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-10 18:35:51.629094: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-10 18:35:51.629171: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-10 18:35:51.629633: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-05-10 18:35:51.629649: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-05-10 18:35:51.629657: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-05-10 18:35:51.630371: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 198 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
WARNING:tensorflow:From /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/mask_detection.py:69: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead.

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

Configurations:
BACKBONE                       resnet101
BACKBONE_SHAPES                [[160 160]
 [ 80  80]
 [ 40  40]
 [ 20  20]
 [ 10  10]]
BACKBONE_STRIDES               [4, 8, 16, 32, 64]
BATCH_SIZE                     1
BBOX_STD_DEV                   [0.1 0.1 0.2 0.2]
DETECTION_MAX_INSTANCES        100
DETECTION_MIN_CONFIDENCE       0.3
DETECTION_NMS_THRESHOLD        0.3
GPU_COUNT                      1
IMAGES_PER_GPU                 1
IMAGE_MAX_DIM                  640
IMAGE_MIN_DIM                  640
IMAGE_PADDING                  True
IMAGE_SHAPE                    [640 640   3]
LEARNING_MOMENTUM              0.9
LEARNING_RATE                  0.001
LOSS_WEIGHTS                   {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}
MASK_POOL_SIZE                 14
MASK_SHAPE                     [28, 28]
MAX_GT_INSTANCES               100
MEAN_PIXEL                     [123.7 116.8 103.9]
MINI_MASK_SHAPE                (56, 56)
NAME                           mask_coco_origin
NUM_CLASSES                    81
POOL_SIZE                      7
POST_NMS_ROIS_INFERENCE        1000
POST_NMS_ROIS_TRAINING         2000
ROI_POSITIVE_RATIO             0.33
RPN_ANCHOR_RATIOS              [0.5, 1, 2]
RPN_ANCHOR_SCALES              (16, 32, 64, 128, 256)
RPN_ANCHOR_STRIDE              1
2025-05-10 18:35:52.179390: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-05-10 18:35:52.179475: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-10 18:35:52.179498: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-10 18:35:52.179520: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-10 18:35:52.179540: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-10 18:35:52.179568: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-10 18:35:52.179598: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-10 18:35:52.179620: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-10 18:35:52.180411: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-10 18:35:52.181299: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-05-10 18:35:52.181334: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-10 18:35:52.181354: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-10 18:35:52.181371: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-10 18:35:52.181389: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-10 18:35:52.181406: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-10 18:35:52.181423: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-10 18:35:52.181441: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-10 18:35:52.182224: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-10 18:35:52.182253: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-05-10 18:35:52.182264: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-05-10 18:35:52.182273: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-05-10 18:35:52.183145: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 198 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
2025-05-10 18:35:53.251010: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 32.00M (33554432 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:35:53.251562: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 28.80M (30199040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:35:53.252054: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 25.92M (27179264 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:35:53.252526: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 23.33M (24461568 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:35:53.252983: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 21.00M (22015488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:35:53.253441: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 18.90M (19814144 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:35:53.253905: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 17.01M (17832960 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:35:53.254354: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 15.31M (16049664 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:35:53.254808: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 13.78M (14444800 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:35:53.255327: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 12.40M (13000448 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:35:53.325405: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 64.00M (67108864 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:35:53.325905: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 64.00M (67108864 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:36:03.327011: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 64.00M (67108864 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:36:03.327857: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 64.00M (67108864 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:36:03.327894: W tensorflow/core/common_runtime/bfc_allocator.cc:434] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.25MiB (rounded to 2359296)
Current allocation summary follows.
2025-05-10 18:36:03.327921: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc
2025-05-10 18:36:03.327940: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (256): 	Total Chunks: 59, Chunks in use: 59. 14.8KiB allocated for chunks. 14.8KiB in use in bin. 8.8KiB client-requested in use in bin.
2025-05-10 18:36:03.327956: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (512): 	Total Chunks: 40, Chunks in use: 40. 20.0KiB allocated for chunks. 20.0KiB in use in bin. 20.0KiB client-requested in use in bin.
2025-05-10 18:36:03.327972: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1024): 	Total Chunks: 76, Chunks in use: 76. 76.2KiB allocated for chunks. 76.2KiB in use in bin. 76.0KiB client-requested in use in bin.
2025-05-10 18:36:03.327987: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2048): 	Total Chunks: 25, Chunks in use: 25. 50.0KiB allocated for chunks. 50.0KiB in use in bin. 50.0KiB client-requested in use in bin.
2025-05-10 18:36:03.328003: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4096): 	Total Chunks: 30, Chunks in use: 30. 123.5KiB allocated for chunks. 123.5KiB in use in bin. 120.0KiB client-requested in use in bin.
2025-05-10 18:36:03.328017: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8192): 	Total Chunks: 1, Chunks in use: 0. 15.0KiB allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-10 18:36:03.328033: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (16384): 	Total Chunks: 1, Chunks in use: 1. 16.0KiB allocated for chunks. 16.0KiB in use in bin. 16.0KiB client-requested in use in bin.
2025-05-10 18:36:03.328048: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (32768): 	Total Chunks: 1, Chunks in use: 1. 36.8KiB allocated for chunks. 36.8KiB in use in bin. 36.8KiB client-requested in use in bin.
2025-05-10 18:36:03.328063: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (65536): 	Total Chunks: 6, Chunks in use: 6. 384.0KiB allocated for chunks. 384.0KiB in use in bin. 384.0KiB client-requested in use in bin.
2025-05-10 18:36:03.328078: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (131072): 	Total Chunks: 4, Chunks in use: 4. 560.0KiB allocated for chunks. 560.0KiB in use in bin. 560.0KiB client-requested in use in bin.
2025-05-10 18:36:03.328093: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (262144): 	Total Chunks: 9, Chunks in use: 7. 2.41MiB allocated for chunks. 1.91MiB in use in bin. 1.75MiB client-requested in use in bin.
2025-05-10 18:36:03.328107: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (524288): 	Total Chunks: 8, Chunks in use: 6. 4.95MiB allocated for chunks. 3.44MiB in use in bin. 3.25MiB client-requested in use in bin.
2025-05-10 18:36:03.328123: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1048576): 	Total Chunks: 12, Chunks in use: 10. 13.12MiB allocated for chunks. 10.88MiB in use in bin. 10.00MiB client-requested in use in bin.
2025-05-10 18:36:03.328158: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2097152): 	Total Chunks: 7, Chunks in use: 7. 16.00MiB allocated for chunks. 16.00MiB in use in bin. 15.50MiB client-requested in use in bin.
2025-05-10 18:36:03.328173: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4194304): 	Total Chunks: 1, Chunks in use: 1. 4.41MiB allocated for chunks. 4.41MiB in use in bin. 2.25MiB client-requested in use in bin.
2025-05-10 18:36:03.328187: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8388608): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-10 18:36:03.328199: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (16777216): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-10 18:36:03.328212: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (33554432): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-10 18:36:03.328225: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (67108864): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-10 18:36:03.328238: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (134217728): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-10 18:36:03.328251: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (268435456): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-10 18:36:03.328265: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 
2025-05-10 18:36:03.328277: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216
2025-05-10 18:36:03.328295: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832a000000 of size 2359296 next 181
2025-05-10 18:36:03.328307: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832a240000 of size 2097152 next 196
2025-05-10 18:36:03.328319: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832a440000 of size 1048576 next 216
2025-05-10 18:36:03.328331: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f832a540000 of size 1310720 next 209
2025-05-10 18:36:03.328342: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832a680000 of size 2359296 next 208
2025-05-10 18:36:03.328354: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832a8c0000 of size 1048576 next 234
2025-05-10 18:36:03.328366: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832a9c0000 of size 1310720 next 228
2025-05-10 18:36:03.328378: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832ab00000 of size 2359296 next 227
2025-05-10 18:36:03.328389: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832ad40000 of size 2883584 next 18446744073709551615
2025-05-10 18:36:03.328401: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 11700480
2025-05-10 18:36:03.328412: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832b000000 of size 2359296 next 245
2025-05-10 18:36:03.328424: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832b240000 of size 1048576 next 269
2025-05-10 18:36:03.328435: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832b340000 of size 1310720 next 263
2025-05-10 18:36:03.328447: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832b480000 of size 2359296 next 262
2025-05-10 18:36:03.328459: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832b6c0000 of size 4622592 next 18446744073709551615
2025-05-10 18:36:03.328470: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152
2025-05-10 18:36:03.328491: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c600000 of size 147456 next 55
2025-05-10 18:36:03.328504: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c624000 of size 65536 next 78
2025-05-10 18:36:03.328516: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c634000 of size 4096 next 191
2025-05-10 18:36:03.328527: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c635000 of size 4096 next 192
2025-05-10 18:36:03.328539: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c636000 of size 4096 next 193
2025-05-10 18:36:03.328551: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c637000 of size 256 next 194
2025-05-10 18:36:03.328562: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c637100 of size 256 next 195
2025-05-10 18:36:03.328574: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c637200 of size 4096 next 197
2025-05-10 18:36:03.328585: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c638200 of size 4096 next 198
2025-05-10 18:36:03.328596: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c639200 of size 4096 next 199
2025-05-10 18:36:03.328608: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c63a200 of size 4096 next 200
2025-05-10 18:36:03.328619: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c63b200 of size 4096 next 201
2025-05-10 18:36:03.328631: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c63c200 of size 1024 next 202
2025-05-10 18:36:03.328642: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c63c600 of size 1024 next 204
2025-05-10 18:36:03.328654: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c63ca00 of size 1024 next 205
2025-05-10 18:36:03.328665: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c63ce00 of size 1024 next 206
2025-05-10 18:36:03.328677: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c63d200 of size 1024 next 207
2025-05-10 18:36:03.328688: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c63d600 of size 1024 next 210
2025-05-10 18:36:03.328700: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c63da00 of size 1024 next 211
2025-05-10 18:36:03.328711: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c63de00 of size 1024 next 212
2025-05-10 18:36:03.328723: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c63e200 of size 1024 next 213
2025-05-10 18:36:03.328734: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c63e600 of size 1024 next 214
2025-05-10 18:36:03.328746: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c63ea00 of size 4096 next 215
2025-05-10 18:36:03.328757: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c63fa00 of size 4096 next 217
2025-05-10 18:36:03.328768: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c640a00 of size 4096 next 218
2025-05-10 18:36:03.328780: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c641a00 of size 4096 next 219
2025-05-10 18:36:03.328791: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c642a00 of size 4096 next 220
2025-05-10 18:36:03.328803: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c643a00 of size 1024 next 221
2025-05-10 18:36:03.328814: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c643e00 of size 1024 next 223
2025-05-10 18:36:03.328825: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c644200 of size 1024 next 224
2025-05-10 18:36:03.328837: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c644600 of size 1024 next 225
2025-05-10 18:36:03.328848: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c644a00 of size 1024 next 226
2025-05-10 18:36:03.328868: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c644e00 of size 1024 next 229
2025-05-10 18:36:03.328880: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c645200 of size 1024 next 230
2025-05-10 18:36:03.328891: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c645600 of size 1024 next 231
2025-05-10 18:36:03.328903: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c645a00 of size 1024 next 232
2025-05-10 18:36:03.328914: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c645e00 of size 1024 next 233
2025-05-10 18:36:03.328926: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c646200 of size 7680 next 72
2025-05-10 18:36:03.328938: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c648000 of size 147456 next 71
2025-05-10 18:36:03.328949: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c66c000 of size 131072 next 87
2025-05-10 18:36:03.328961: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f832c68c000 of size 262144 next 103
2025-05-10 18:36:03.328973: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c6cc000 of size 262144 next 102
2025-05-10 18:36:03.328984: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f832c70c000 of size 999424 next 18446744073709551615
2025-05-10 18:36:03.328996: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 4194304
2025-05-10 18:36:03.329008: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c800000 of size 589824 next 96
2025-05-10 18:36:03.329019: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c890000 of size 262144 next 117
2025-05-10 18:36:03.329031: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f832c8d0000 of size 262144 next 112
2025-05-10 18:36:03.329043: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c910000 of size 524288 next 111
2025-05-10 18:36:03.329054: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c990000 of size 262144 next 135
2025-05-10 18:36:03.329066: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c9d0000 of size 327680 next 124
2025-05-10 18:36:03.329078: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832ca20000 of size 589824 next 123
2025-05-10 18:36:03.329089: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832cab0000 of size 262144 next 152
2025-05-10 18:36:03.329101: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832caf0000 of size 327680 next 142
2025-05-10 18:36:03.329113: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832cb40000 of size 786432 next 18446744073709551615
2025-05-10 18:36:03.329124: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 8388608
2025-05-10 18:36:03.329135: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f832cc00000 of size 589824 next 160
2025-05-10 18:36:03.329147: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832cc90000 of size 589824 next 158
2025-05-10 18:36:03.329158: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832cd20000 of size 524288 next 171
2025-05-10 18:36:03.329170: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f832cda0000 of size 1048576 next 222
2025-05-10 18:36:03.329181: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832cea0000 of size 1048576 next 190
2025-05-10 18:36:03.329193: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832cfa0000 of size 1048576 next 189
2025-05-10 18:36:03.329204: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832d0a0000 of size 1048576 next 203
2025-05-10 18:36:03.329216: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832d1a0000 of size 1048576 next 251
2025-05-10 18:36:03.329228: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832d2a0000 of size 1441792 next 18446744073709551615
2025-05-10 18:36:03.329247: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 1048576
2025-05-10 18:36:03.329260: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e00000 of size 1280 next 1
2025-05-10 18:36:03.329272: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e00500 of size 256 next 5
2025-05-10 18:36:03.329283: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e00600 of size 256 next 8
2025-05-10 18:36:03.329295: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e00700 of size 256 next 9
2025-05-10 18:36:03.329306: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e00800 of size 256 next 10
2025-05-10 18:36:03.329318: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e00900 of size 256 next 11
2025-05-10 18:36:03.329329: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e00a00 of size 256 next 12
2025-05-10 18:36:03.329341: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e00b00 of size 256 next 13
2025-05-10 18:36:03.329352: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e00c00 of size 256 next 17
2025-05-10 18:36:03.329364: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e00d00 of size 256 next 19
2025-05-10 18:36:03.329375: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e00e00 of size 256 next 20
2025-05-10 18:36:03.329386: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e00f00 of size 256 next 21
2025-05-10 18:36:03.329398: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e01000 of size 256 next 22
2025-05-10 18:36:03.329409: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e01100 of size 256 next 24
2025-05-10 18:36:03.329421: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e01200 of size 256 next 25
2025-05-10 18:36:03.329432: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e01300 of size 256 next 23
2025-05-10 18:36:03.329444: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e01400 of size 256 next 28
2025-05-10 18:36:03.329455: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e01500 of size 256 next 29
2025-05-10 18:36:03.329467: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e01600 of size 256 next 30
2025-05-10 18:36:03.329478: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e01700 of size 256 next 31
2025-05-10 18:36:03.329490: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e01800 of size 256 next 33
2025-05-10 18:36:03.329501: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e01900 of size 256 next 34
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2025-05-10 18:36:03.330912: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e26d00 of size 2048 next 170
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2025-05-10 18:36:03.330984: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e28900 of size 256 next 178
2025-05-10 18:36:03.330995: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e28a00 of size 256 next 179
2025-05-10 18:36:03.331006: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e28b00 of size 1024 next 177
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2025-05-10 18:36:03.331064: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e29f00 of size 256 next 187
2025-05-10 18:36:03.331075: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e2a000 of size 256 next 188
2025-05-10 18:36:03.331087: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e2a100 of size 4096 next 186
2025-05-10 18:36:03.331098: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e2b100 of size 4096 next 42
2025-05-10 18:36:03.331110: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e2c100 of size 65536 next 36
2025-05-10 18:36:03.331121: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e3c100 of size 65536 next 35
2025-05-10 18:36:03.331133: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e4c100 of size 4096 next 235
2025-05-10 18:36:03.331144: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e4d100 of size 4096 next 236
2025-05-10 18:36:03.331156: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e4e100 of size 4096 next 237
2025-05-10 18:36:03.331176: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e4f100 of size 4096 next 238
2025-05-10 18:36:03.331188: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e50100 of size 1024 next 239
2025-05-10 18:36:03.331199: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e50500 of size 1024 next 240
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2025-05-10 18:36:03.331256: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e51900 of size 1024 next 247
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2025-05-10 18:36:03.331279: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e52100 of size 1024 next 249
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2025-05-10 18:36:03.331302: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e52900 of size 4096 next 252
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2025-05-10 18:36:03.331359: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e57900 of size 1024 next 257
2025-05-10 18:36:03.331371: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e57d00 of size 1024 next 258
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2025-05-10 18:36:03.331405: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e58900 of size 1024 next 261
2025-05-10 18:36:03.331417: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e58d00 of size 1024 next 264
2025-05-10 18:36:03.331428: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e59100 of size 1024 next 265
2025-05-10 18:36:03.331439: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e59500 of size 1024 next 266
2025-05-10 18:36:03.331451: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e59900 of size 1024 next 267
2025-05-10 18:36:03.331462: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e59d00 of size 1024 next 268
2025-05-10 18:36:03.331474: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e5a100 of size 4096 next 270
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2025-05-10 18:36:03.331497: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e5c100 of size 4096 next 272
2025-05-10 18:36:03.331508: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e5d100 of size 4096 next 273
2025-05-10 18:36:03.331519: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e5e100 of size 4096 next 274
2025-05-10 18:36:03.331531: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e5f100 of size 1024 next 275
2025-05-10 18:36:03.331550: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e5f500 of size 1024 next 276
2025-05-10 18:36:03.331562: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e5f900 of size 1024 next 277
2025-05-10 18:36:03.331574: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e5fd00 of size 1024 next 278
2025-05-10 18:36:03.331585: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e60100 of size 1024 next 279
2025-05-10 18:36:03.331597: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f8466e60500 of size 15360 next 27
2025-05-10 18:36:03.331608: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e64100 of size 147456 next 26
2025-05-10 18:36:03.331620: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e88100 of size 65536 next 47
2025-05-10 18:36:03.331631: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e98100 of size 65536 next 59
2025-05-10 18:36:03.331643: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466ea8100 of size 65536 next 65
2025-05-10 18:36:03.331655: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466eb8100 of size 294656 next 18446744073709551615
2025-05-10 18:36:03.331666: I tensorflow/core/common_runtime/bfc_allocator.cc:995]      Summary of in-use Chunks by size: 
2025-05-10 18:36:03.331681: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 59 Chunks of size 256 totalling 14.8KiB
2025-05-10 18:36:03.331695: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB
2025-05-10 18:36:03.331708: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 75 Chunks of size 1024 totalling 75.0KiB
2025-05-10 18:36:03.331720: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB
2025-05-10 18:36:03.331733: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB
2025-05-10 18:36:03.331746: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 29 Chunks of size 4096 totalling 116.0KiB
2025-05-10 18:36:03.331759: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB
2025-05-10 18:36:03.331771: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB
2025-05-10 18:36:03.331784: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB
2025-05-10 18:36:03.331797: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB
2025-05-10 18:36:03.331810: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB
2025-05-10 18:36:03.331823: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB
2025-05-10 18:36:03.331836: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB
2025-05-10 18:36:03.331848: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB
2025-05-10 18:36:03.331861: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB
2025-05-10 18:36:03.331874: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB
2025-05-10 18:36:03.331886: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB
2025-05-10 18:36:03.331899: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB
2025-05-10 18:36:03.331912: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 7 Chunks of size 1048576 totalling 7.00MiB
2025-05-10 18:36:03.331924: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 1310720 totalling 2.50MiB
2025-05-10 18:36:03.331937: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB
2025-05-10 18:36:03.331949: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB
2025-05-10 18:36:03.331971: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 5 Chunks of size 2359296 totalling 11.25MiB
2025-05-10 18:36:03.331984: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB
2025-05-10 18:36:03.331997: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 4622592 totalling 4.41MiB
2025-05-10 18:36:03.332010: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 37.88MiB
2025-05-10 18:36:03.332022: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 44206336 memory_limit_: 208535552 available bytes: 164329216 curr_region_allocation_bytes_: 67108864
2025-05-10 18:36:03.332038: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: 
Limit:                   208535552
InUse:                    39718144
MaxInUse:                 39718400
NumAllocs:                     889
MaxAllocSize:              4622592

2025-05-10 18:36:03.332060: W tensorflow/core/common_runtime/bfc_allocator.cc:439] *************__*********************************************xxxx***__**************_****************
2025-05-10 18:36:03.332115: W tensorflow/core/framework/op_kernel.cc:1753] OP_REQUIRES failed at cwise_ops_common.h:134 : Resource exhausted: OOM when allocating tensor with shape[3,3,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD              0.7
RPN_TRAIN_ANCHORS_PER_IMAGE    256
STEPS_PER_EPOCH                1000
TRAIN_ROIS_PER_IMAGE           200
USE_MINI_MASK                  True
USE_RPN_ROIS                   True
VALIDATION_STEPS               50
WEIGHT_DECAY                   0.0001


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

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : -12
free memory after detection : 
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 19

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

run mask_detect

Inside batchDatouExec : verbose : False
Catched exception !
Connect or reconnect !
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
List Step Type Loaded in datou : mask_detect
list_input_json : []
origin
BFwe have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
time to download the photos : 0.10854458808898926
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 May 10 18:36:04 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Beginning of datou step mask_detect !
save_polygon : True

 begin detect 

begin to check gpu status 
inside check gpu memory
havn't enough memory gpu , need / 3000
l 3632 free memory gpu now : 350
wait 20 seconds
l 3637 free memory gpu now : 350  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
2025-05-10 18:36:27.664836: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-05-10 18:36:27.691163: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz
2025-05-10 18:36:27.692688: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f850c000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-05-10 18:36:27.692712: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-05-10 18:36:27.695665: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-05-10 18:36:27.950558: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x23bca980 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-05-10 18:36:27.950606: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-05-10 18:36:27.951099: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-05-10 18:36:27.951453: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-10 18:36:27.953595: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-10 18:36:27.956064: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-10 18:36:27.957181: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-10 18:36:27.960355: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-10 18:36:27.961466: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-10 18:36:27.967936: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-10 18:36:27.968861: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-10 18:36:27.968948: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-10 18:36:27.969428: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-05-10 18:36:27.969444: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-05-10 18:36:27.969453: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-05-10 18:36:27.970176: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 198 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
WARNING:tensorflow:From /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/mask_detection.py:69: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead.

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

Configurations:
BACKBONE                       resnet101
BACKBONE_SHAPES                [[160 160]
 [ 80  80]
 [ 40  40]
 [ 20  20]
 [ 10  10]]
BACKBONE_STRIDES               [4, 8, 16, 32, 64]
BATCH_SIZE                     1
BBOX_STD_DEV                   [0.1 0.1 0.2 0.2]
DETECTION_MAX_INSTANCES        100
DETECTION_MIN_CONFIDENCE       0.3
DETECTION_NMS_THRESHOLD        0.3
GPU_COUNT                      1
IMAGES_PER_GPU                 1
IMAGE_MAX_DIM                  640
IMAGE_MIN_DIM                  640
IMAGE_PADDING                  True
IMAGE_SHAPE                    [640 640   3]
LEARNING_MOMENTUM              0.9
LEARNING_RATE                  0.001
LOSS_WEIGHTS                   {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}
MASK_POOL_SIZE                 14
MASK_SHAPE                     [28, 28]
MAX_GT_INSTANCES               100
MEAN_PIXEL                     [123.7 116.8 103.9]
MINI_MASK_SHAPE                (56, 56)
NAME                           mask_coco_origin
NUM_CLASSES                    81
POOL_SIZE                      7
POST_NMS_ROIS_INFERENCE        1000
POST_NMS_ROIS_TRAINING         2000
ROI_POSITIVE_RATIO             0.33
RPN_ANCHOR_RATIOS              [0.5, 1, 2]
RPN_ANCHOR_SCALES              (16, 32, 64, 128, 256)
RPN_ANCHOR_STRIDE              1
2025-05-10 18:36:28.540192: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-05-10 18:36:28.540268: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-10 18:36:28.540286: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-10 18:36:28.540301: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-10 18:36:28.540316: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-10 18:36:28.540331: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-10 18:36:28.540345: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-10 18:36:28.540360: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-10 18:36:28.541005: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-10 18:36:28.541808: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-05-10 18:36:28.541837: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-10 18:36:28.541853: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-10 18:36:28.541868: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-10 18:36:28.541884: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-10 18:36:28.541898: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-10 18:36:28.541913: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-10 18:36:28.541928: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-10 18:36:28.542541: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-10 18:36:28.542571: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-05-10 18:36:28.542580: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-05-10 18:36:28.542587: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-05-10 18:36:28.543286: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 198 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
2025-05-10 18:36:29.331144: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 32.00M (33554432 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:36:29.331681: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 28.80M (30199040 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:36:29.332178: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 25.92M (27179264 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:36:29.332651: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 23.33M (24461568 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:36:29.333134: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 21.00M (22015488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:36:29.333633: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 18.90M (19814144 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:36:29.334138: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 17.01M (17832960 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:36:29.334593: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 15.31M (16049664 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:36:29.335082: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 13.78M (14444800 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:36:29.335581: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 12.40M (13000448 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:36:29.405414: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 64.00M (67108864 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:36:29.405923: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 64.00M (67108864 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:36:39.406932: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 64.00M (67108864 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:36:39.407763: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 64.00M (67108864 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-10 18:36:39.407794: W tensorflow/core/common_runtime/bfc_allocator.cc:434] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.25MiB (rounded to 2359296)
Current allocation summary follows.
2025-05-10 18:36:39.407816: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc
2025-05-10 18:36:39.407834: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (256): 	Total Chunks: 59, Chunks in use: 59. 14.8KiB allocated for chunks. 14.8KiB in use in bin. 8.8KiB client-requested in use in bin.
2025-05-10 18:36:39.407849: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (512): 	Total Chunks: 40, Chunks in use: 40. 20.0KiB allocated for chunks. 20.0KiB in use in bin. 20.0KiB client-requested in use in bin.
2025-05-10 18:36:39.407865: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1024): 	Total Chunks: 76, Chunks in use: 76. 76.2KiB allocated for chunks. 76.2KiB in use in bin. 76.0KiB client-requested in use in bin.
2025-05-10 18:36:39.407880: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2048): 	Total Chunks: 25, Chunks in use: 25. 50.0KiB allocated for chunks. 50.0KiB in use in bin. 50.0KiB client-requested in use in bin.
2025-05-10 18:36:39.407895: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4096): 	Total Chunks: 30, Chunks in use: 30. 123.5KiB allocated for chunks. 123.5KiB in use in bin. 120.0KiB client-requested in use in bin.
2025-05-10 18:36:39.407910: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8192): 	Total Chunks: 1, Chunks in use: 0. 15.0KiB allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-10 18:36:39.407925: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (16384): 	Total Chunks: 1, Chunks in use: 1. 16.0KiB allocated for chunks. 16.0KiB in use in bin. 16.0KiB client-requested in use in bin.
2025-05-10 18:36:39.407940: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (32768): 	Total Chunks: 1, Chunks in use: 1. 36.8KiB allocated for chunks. 36.8KiB in use in bin. 36.8KiB client-requested in use in bin.
2025-05-10 18:36:39.407971: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (65536): 	Total Chunks: 6, Chunks in use: 6. 384.0KiB allocated for chunks. 384.0KiB in use in bin. 384.0KiB client-requested in use in bin.
2025-05-10 18:36:39.407987: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (131072): 	Total Chunks: 4, Chunks in use: 4. 560.0KiB allocated for chunks. 560.0KiB in use in bin. 560.0KiB client-requested in use in bin.
2025-05-10 18:36:39.408002: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (262144): 	Total Chunks: 9, Chunks in use: 7. 2.41MiB allocated for chunks. 1.91MiB in use in bin. 1.75MiB client-requested in use in bin.
2025-05-10 18:36:39.408016: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (524288): 	Total Chunks: 8, Chunks in use: 6. 4.95MiB allocated for chunks. 3.44MiB in use in bin. 3.25MiB client-requested in use in bin.
2025-05-10 18:36:39.408032: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1048576): 	Total Chunks: 12, Chunks in use: 10. 13.12MiB allocated for chunks. 10.88MiB in use in bin. 10.00MiB client-requested in use in bin.
2025-05-10 18:36:39.408046: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2097152): 	Total Chunks: 7, Chunks in use: 7. 16.00MiB allocated for chunks. 16.00MiB in use in bin. 15.50MiB client-requested in use in bin.
2025-05-10 18:36:39.408061: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4194304): 	Total Chunks: 1, Chunks in use: 1. 4.41MiB allocated for chunks. 4.41MiB in use in bin. 2.25MiB client-requested in use in bin.
2025-05-10 18:36:39.408074: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8388608): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-10 18:36:39.408087: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (16777216): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-10 18:36:39.408100: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (33554432): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-10 18:36:39.408113: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (67108864): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-10 18:36:39.408126: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (134217728): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-10 18:36:39.408139: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (268435456): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-10 18:36:39.408153: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 
2025-05-10 18:36:39.408164: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216
2025-05-10 18:36:39.408180: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832a000000 of size 2359296 next 181
2025-05-10 18:36:39.408192: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832a240000 of size 2097152 next 196
2025-05-10 18:36:39.408204: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832a440000 of size 1048576 next 216
2025-05-10 18:36:39.408216: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f832a540000 of size 1310720 next 209
2025-05-10 18:36:39.408228: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832a680000 of size 2359296 next 208
2025-05-10 18:36:39.408239: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832a8c0000 of size 1048576 next 234
2025-05-10 18:36:39.408251: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832a9c0000 of size 1310720 next 228
2025-05-10 18:36:39.408263: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832ab00000 of size 2359296 next 227
2025-05-10 18:36:39.408283: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832ad40000 of size 2883584 next 18446744073709551615
2025-05-10 18:36:39.408295: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 11700480
2025-05-10 18:36:39.408306: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832b000000 of size 2359296 next 245
2025-05-10 18:36:39.408318: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832b240000 of size 1048576 next 269
2025-05-10 18:36:39.408330: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832b340000 of size 1310720 next 263
2025-05-10 18:36:39.408341: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832b480000 of size 2359296 next 262
2025-05-10 18:36:39.408353: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832b6c0000 of size 4622592 next 18446744073709551615
2025-05-10 18:36:39.408364: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152
2025-05-10 18:36:39.408376: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c600000 of size 147456 next 55
2025-05-10 18:36:39.408388: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c624000 of size 65536 next 78
2025-05-10 18:36:39.408400: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c634000 of size 4096 next 191
2025-05-10 18:36:39.408412: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c635000 of size 4096 next 192
2025-05-10 18:36:39.408424: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c636000 of size 4096 next 193
2025-05-10 18:36:39.408436: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c637000 of size 256 next 194
2025-05-10 18:36:39.408447: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c637100 of size 256 next 195
2025-05-10 18:36:39.408459: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c637200 of size 4096 next 197
2025-05-10 18:36:39.408471: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f832c638200 of size 4096 next 198
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2025-05-10 18:36:39.410253: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e12600 of size 2048 next 6
2025-05-10 18:36:39.410264: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e12e00 of size 37632 next 7
2025-05-10 18:36:39.410276: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e1c100 of size 512 next 118
2025-05-10 18:36:39.410287: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e1c300 of size 512 next 119
2025-05-10 18:36:39.410299: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e1c500 of size 512 next 120
2025-05-10 18:36:39.410310: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e1c700 of size 512 next 121
2025-05-10 18:36:39.410322: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e1c900 of size 512 next 122
2025-05-10 18:36:39.410333: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e1cb00 of size 512 next 125
2025-05-10 18:36:39.410345: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e1cd00 of size 512 next 126
2025-05-10 18:36:39.410356: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e1cf00 of size 512 next 127
2025-05-10 18:36:39.410368: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e1d100 of size 512 next 128
2025-05-10 18:36:39.410379: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e1d300 of size 512 next 129
2025-05-10 18:36:39.410391: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e1d500 of size 2048 next 130
2025-05-10 18:36:39.410402: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e1dd00 of size 2048 next 131
2025-05-10 18:36:39.410414: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e1e500 of size 2048 next 132
2025-05-10 18:36:39.410425: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e1ed00 of size 2048 next 133
2025-05-10 18:36:39.410437: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e1f500 of size 2048 next 134
2025-05-10 18:36:39.410448: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e1fd00 of size 512 next 136
2025-05-10 18:36:39.410460: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e1ff00 of size 512 next 137
2025-05-10 18:36:39.410471: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e20100 of size 512 next 138
2025-05-10 18:36:39.410483: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e20300 of size 512 next 139
2025-05-10 18:36:39.410494: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e20500 of size 512 next 140
2025-05-10 18:36:39.410506: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e20700 of size 512 next 141
2025-05-10 18:36:39.410517: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e20900 of size 512 next 143
2025-05-10 18:36:39.410529: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e20b00 of size 512 next 144
2025-05-10 18:36:39.410540: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e20d00 of size 512 next 145
2025-05-10 18:36:39.410552: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e20f00 of size 512 next 146
2025-05-10 18:36:39.410571: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e21100 of size 2048 next 147
2025-05-10 18:36:39.410583: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e21900 of size 2048 next 148
2025-05-10 18:36:39.410594: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e22100 of size 2048 next 149
2025-05-10 18:36:39.410606: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e22900 of size 2048 next 150
2025-05-10 18:36:39.410617: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e23100 of size 2048 next 151
2025-05-10 18:36:39.410629: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e23900 of size 512 next 153
2025-05-10 18:36:39.410640: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e23b00 of size 512 next 154
2025-05-10 18:36:39.410652: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e23d00 of size 512 next 155
2025-05-10 18:36:39.410663: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e23f00 of size 512 next 156
2025-05-10 18:36:39.410675: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e24100 of size 512 next 157
2025-05-10 18:36:39.410686: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e24300 of size 512 next 161
2025-05-10 18:36:39.410698: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e24500 of size 512 next 162
2025-05-10 18:36:39.410709: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e24700 of size 512 next 163
2025-05-10 18:36:39.410721: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e24900 of size 512 next 164
2025-05-10 18:36:39.410732: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e24b00 of size 512 next 165
2025-05-10 18:36:39.410744: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e24d00 of size 2048 next 166
2025-05-10 18:36:39.410755: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e25500 of size 2048 next 167
2025-05-10 18:36:39.410767: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e25d00 of size 2048 next 168
2025-05-10 18:36:39.410778: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e26500 of size 2048 next 169
2025-05-10 18:36:39.410790: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e26d00 of size 2048 next 170
2025-05-10 18:36:39.410801: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e27500 of size 1024 next 172
2025-05-10 18:36:39.410813: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e27900 of size 1024 next 173
2025-05-10 18:36:39.410824: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e27d00 of size 1024 next 174
2025-05-10 18:36:39.410836: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e28100 of size 1024 next 175
2025-05-10 18:36:39.410847: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e28500 of size 1024 next 176
2025-05-10 18:36:39.410859: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e28900 of size 256 next 178
2025-05-10 18:36:39.410870: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e28a00 of size 256 next 179
2025-05-10 18:36:39.410882: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e28b00 of size 1024 next 177
2025-05-10 18:36:39.410893: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e28f00 of size 1024 next 182
2025-05-10 18:36:39.410918: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e29300 of size 1024 next 183
2025-05-10 18:36:39.410929: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e29700 of size 1024 next 184
2025-05-10 18:36:39.410941: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e29b00 of size 1024 next 185
2025-05-10 18:36:39.410960: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e29f00 of size 256 next 187
2025-05-10 18:36:39.410972: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e2a000 of size 256 next 188
2025-05-10 18:36:39.410984: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e2a100 of size 4096 next 186
2025-05-10 18:36:39.410995: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e2b100 of size 4096 next 42
2025-05-10 18:36:39.411007: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e2c100 of size 65536 next 36
2025-05-10 18:36:39.411019: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e3c100 of size 65536 next 35
2025-05-10 18:36:39.411030: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e4c100 of size 4096 next 235
2025-05-10 18:36:39.411042: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e4d100 of size 4096 next 236
2025-05-10 18:36:39.411053: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e4e100 of size 4096 next 237
2025-05-10 18:36:39.411064: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e4f100 of size 4096 next 238
2025-05-10 18:36:39.411076: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e50100 of size 1024 next 239
2025-05-10 18:36:39.411087: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e50500 of size 1024 next 240
2025-05-10 18:36:39.411099: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e50900 of size 1024 next 241
2025-05-10 18:36:39.411110: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e50d00 of size 1024 next 242
2025-05-10 18:36:39.411122: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e51100 of size 1024 next 243
2025-05-10 18:36:39.411133: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e51500 of size 1024 next 246
2025-05-10 18:36:39.411145: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e51900 of size 1024 next 247
2025-05-10 18:36:39.411156: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e51d00 of size 1024 next 248
2025-05-10 18:36:39.411167: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e52100 of size 1024 next 249
2025-05-10 18:36:39.411179: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e52500 of size 1024 next 250
2025-05-10 18:36:39.411190: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e52900 of size 4096 next 252
2025-05-10 18:36:39.411202: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e53900 of size 4096 next 253
2025-05-10 18:36:39.411213: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e54900 of size 4096 next 254
2025-05-10 18:36:39.411225: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e55900 of size 4096 next 255
2025-05-10 18:36:39.411236: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e56900 of size 4096 next 256
2025-05-10 18:36:39.411247: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e57900 of size 1024 next 257
2025-05-10 18:36:39.411259: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e57d00 of size 1024 next 258
2025-05-10 18:36:39.411270: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e58100 of size 1024 next 259
2025-05-10 18:36:39.411282: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e58500 of size 1024 next 260
2025-05-10 18:36:39.411293: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e58900 of size 1024 next 261
2025-05-10 18:36:39.411305: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e58d00 of size 1024 next 264
2025-05-10 18:36:39.411316: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e59100 of size 1024 next 265
2025-05-10 18:36:39.411328: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e59500 of size 1024 next 266
2025-05-10 18:36:39.411346: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e59900 of size 1024 next 267
2025-05-10 18:36:39.411358: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e59d00 of size 1024 next 268
2025-05-10 18:36:39.411370: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e5a100 of size 4096 next 270
2025-05-10 18:36:39.411381: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e5b100 of size 4096 next 271
2025-05-10 18:36:39.411393: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e5c100 of size 4096 next 272
2025-05-10 18:36:39.411404: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e5d100 of size 4096 next 273
2025-05-10 18:36:39.411416: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e5e100 of size 4096 next 274
2025-05-10 18:36:39.411427: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e5f100 of size 1024 next 275
2025-05-10 18:36:39.411439: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e5f500 of size 1024 next 276
2025-05-10 18:36:39.411450: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e5f900 of size 1024 next 277
2025-05-10 18:36:39.411462: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e5fd00 of size 1024 next 278
2025-05-10 18:36:39.411473: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e60100 of size 1024 next 279
2025-05-10 18:36:39.411485: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f8466e60500 of size 15360 next 27
2025-05-10 18:36:39.411496: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e64100 of size 147456 next 26
2025-05-10 18:36:39.411508: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e88100 of size 65536 next 47
2025-05-10 18:36:39.411519: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466e98100 of size 65536 next 59
2025-05-10 18:36:39.411531: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466ea8100 of size 65536 next 65
2025-05-10 18:36:39.411543: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f8466eb8100 of size 294656 next 18446744073709551615
2025-05-10 18:36:39.411554: I tensorflow/core/common_runtime/bfc_allocator.cc:995]      Summary of in-use Chunks by size: 
2025-05-10 18:36:39.411568: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 59 Chunks of size 256 totalling 14.8KiB
2025-05-10 18:36:39.411582: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB
2025-05-10 18:36:39.411594: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 75 Chunks of size 1024 totalling 75.0KiB
2025-05-10 18:36:39.411607: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB
2025-05-10 18:36:39.411620: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB
2025-05-10 18:36:39.411633: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 29 Chunks of size 4096 totalling 116.0KiB
2025-05-10 18:36:39.411646: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB
2025-05-10 18:36:39.411659: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB
2025-05-10 18:36:39.411671: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB
2025-05-10 18:36:39.411684: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB
2025-05-10 18:36:39.411697: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB
2025-05-10 18:36:39.411710: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB
2025-05-10 18:36:39.411722: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB
2025-05-10 18:36:39.411744: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB
2025-05-10 18:36:39.411758: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB
2025-05-10 18:36:39.411770: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB
2025-05-10 18:36:39.411783: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB
2025-05-10 18:36:39.411795: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB
2025-05-10 18:36:39.411808: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 7 Chunks of size 1048576 totalling 7.00MiB
2025-05-10 18:36:39.411821: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 1310720 totalling 2.50MiB
2025-05-10 18:36:39.411833: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB
2025-05-10 18:36:39.411846: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB
2025-05-10 18:36:39.411859: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 5 Chunks of size 2359296 totalling 11.25MiB
2025-05-10 18:36:39.411871: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB
2025-05-10 18:36:39.411884: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 4622592 totalling 4.41MiB
2025-05-10 18:36:39.411896: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 37.88MiB
2025-05-10 18:36:39.411908: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 44206336 memory_limit_: 208535552 available bytes: 164329216 curr_region_allocation_bytes_: 67108864
2025-05-10 18:36:39.411923: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: 
Limit:                   208535552
InUse:                    39718144
MaxInUse:                 39718400
NumAllocs:                     889
MaxAllocSize:              4622592

2025-05-10 18:36:39.411944: W tensorflow/core/common_runtime/bfc_allocator.cc:439] *************__*********************************************xxxx***__**************_****************
2025-05-10 18:36:39.411987: W tensorflow/core/framework/op_kernel.cc:1753] OP_REQUIRES failed at cwise_ops_common.h:134 : Resource exhausted: OOM when allocating tensor with shape[3,3,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD              0.7
RPN_TRAIN_ANCHORS_PER_IMAGE    256
STEPS_PER_EPOCH                1000
TRAIN_ROIS_PER_IMAGE           200
USE_MINI_MASK                  True
USE_RPN_ROIS                   True
VALIDATION_STEPS               50
WEIGHT_DECAY                   0.0001


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

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


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


Error : invalid literal for int() with base 10: "'int' object is not subscriptable"
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_6b796098f0a7c88b7d6a90fb4c0df56eec821fbf
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_6b796098f0a7c88b7d6a90fb4c0df56eec821fbf','{"mask_detection": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/May/10052025/python_test3//data_2/data_log/job/2025/May/10052025/python_test3/log-python3----short_python3--v--marlene-18:35:01.txt','mask_detection','unknown');

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





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


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

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

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

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

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (1189321094) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 1189321094
download finish for photo 1189321094
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.17894601821899414
#### 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 May 10 18:36:39 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1746894999_595310_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png': 1189321094}
map_photo_id_path_extension : {1189321094: {'path': 'temp/1746894999_595310_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png', 'extension': 'png'}}
map_subphoto_mainphoto : {}

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

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


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4573', None, '1189321094', "[<FrameSummary file /home/admin/workarea/git/Velours/python/tests/python_tests.py, line 245 in <module>>, <FrameSummary file /home/admin/workarea/git/Velours/python/tests/datou_test.py, line 3680 in test>, <FrameSummary file /home/admin/workarea/git/Velours/python/tests/datou_test.py, line 100 in test_sam>, <FrameSummary file /home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py, line 819 in batchDatouExec>, <FrameSummary file /home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py, line 2346 in datou_exec>, 'CUDA error: out of memory\\nCUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.\\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.']", '-1', '-1.0', '501120777', '1.0', None)]
time used for this insertion : 0.012916088104248047
 save_final 
ERROR in last step sam, CUDA error: out of memory
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

time spend for datou_step_exec : 3.488469362258911
time spend to save output : 0.013944387435913086
total time spend for step 0 : 3.502413749694824
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 : 0.10911178588867188
#### 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 May 10 18:36:43 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/1746895003_595310_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg': 917754606}
map_photo_id_path_extension : {917754606: {'path': 'temp/1746895003_595310_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
E0510 18:36:45.074456 595310 common.cpp:114] Cannot create Cublas handle. Cublas won't be available.
E0510 18:36:45.081333 595310 common.cpp:121] Cannot create Curand generator. Curand won't be available.
F0510 18:36:45.095877 595310 syncedmem.hpp:22] Check failed: error == cudaSuccess (2 vs. 0)  out of memory
*** Check failure stack trace: ***
Command terminated by signal 6
6.61user 7.49system 1:19.41elapsed 17%CPU (0avgtext+0avgdata 1295828maxresident)k
1616840inputs+3416outputs (5267major+605311minor)pagefaults 0swaps