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 : 332

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 : 0.1227724552154541
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
Tue May 13 21:35:27 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 : 332
wait 20 seconds
l 3637 free memory gpu now : 332  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
2025-05-13 21:35:50.388751: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-05-13 21:35:50.415272: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz
2025-05-13 21:35:50.417524: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f7ca4000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-05-13 21:35:50.417592: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-05-13 21:35:50.421738: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-05-13 21:35:50.675806: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2b31dc40 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-05-13 21:35:50.675849: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-05-13 21:35:50.676732: 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
2025-05-13 21:35:50.678480: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-13 21:35:50.684151: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-13 21:35:50.688651: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-13 21:35:50.689929: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-13 21:35:50.695132: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-13 21:35:50.696684: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-13 21:35:50.703742: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-13 21:35:50.704554: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-13 21:35:50.704894: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-13 21:35:50.705346: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-05-13 21:35:50.705361: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-05-13 21:35:50.705370: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-05-13 21:35:50.706649: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 180 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
2025-05-13 21:35:51.408355: 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
2025-05-13 21:35:51.408433: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-13 21:35:51.408454: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-13 21:35:51.408473: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-13 21:35:51.408490: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-13 21:35:51.408508: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-13 21:35:51.408539: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-13 21:35:51.408559: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-13 21:35:51.409339: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-13 21:35:51.410361: 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
2025-05-13 21:35:51.410395: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-13 21:35:51.410414: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-13 21:35:51.410431: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-13 21:35:51.410448: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-13 21:35:51.410465: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-13 21:35:51.410481: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-13 21:35:51.410498: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-13 21:35:51.411280: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-13 21:35:51.411321: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-05-13 21:35:51.411332: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-05-13 21:35:51.411341: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-05-13 21:35:51.412166: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 180 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
2025-05-13 21:35:52.667677: 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
2025-05-13 21:35:52.668224: 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
2025-05-13 21:35:52.668733: 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
2025-05-13 21:35:52.669235: 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
2025-05-13 21:35:52.669732: 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
2025-05-13 21:35:52.670230: 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
2025-05-13 21:35:52.670742: 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
2025-05-13 21:35:52.671272: 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
2025-05-13 21:35:52.671770: 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
2025-05-13 21:35:52.672284: 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
2025-05-13 21:35:52.672798: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 11.16M (11700480 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:35:52.673300: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 10.04M (10530560 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:35:52.673812: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 9.04M (9477632 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:35:52.674328: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 8.13M (8529920 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:35:52.674873: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 7.32M (7676928 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:35:52.675430: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 6.59M (6909440 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:35:52.676009: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 5.93M (6218496 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:35:52.676581: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 5.34M (5596672 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:35:52.677159: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.80M (5037056 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:35:52.677734: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.32M (4533504 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:35:52.720375: 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
2025-05-13 21:35:52.720913: 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
2025-05-13 21:36:02.721972: 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
2025-05-13 21:36:02.722877: 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
2025-05-13 21:36:02.722949: 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.
2025-05-13 21:36:02.722977: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc
2025-05-13 21:36:02.722996: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (256): 	Total Chunks: 60, Chunks in use: 60. 15.0KiB allocated for chunks. 15.0KiB in use in bin. 8.8KiB client-requested in use in bin.
2025-05-13 21:36:02.723012: 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.
2025-05-13 21:36:02.723028: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1024): 	Total Chunks: 66, Chunks in use: 66. 66.2KiB allocated for chunks. 66.2KiB in use in bin. 66.0KiB client-requested in use in bin.
2025-05-13 21:36:02.723044: 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.
2025-05-13 21:36:02.723060: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4096): 	Total Chunks: 25, Chunks in use: 25. 103.5KiB allocated for chunks. 103.5KiB in use in bin. 100.0KiB client-requested in use in bin.
2025-05-13 21:36:02.723089: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8192): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-13 21:36:02.723105: 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.
2025-05-13 21:36:02.723121: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (32768): 	Total Chunks: 2, Chunks in use: 1. 81.5KiB allocated for chunks. 36.8KiB in use in bin. 36.8KiB client-requested in use in bin.
2025-05-13 21:36:02.723137: 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.
2025-05-13 21:36:02.723153: 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.
2025-05-13 21:36:02.723168: 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.
2025-05-13 21:36:02.723183: 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.
2025-05-13 21:36:02.723198: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1048576): 	Total Chunks: 10, Chunks in use: 8. 10.88MiB allocated for chunks. 8.62MiB in use in bin. 8.00MiB client-requested in use in bin.
2025-05-13 21:36:02.723214: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2097152): 	Total Chunks: 6, Chunks in use: 6. 15.39MiB allocated for chunks. 15.39MiB in use in bin. 13.25MiB client-requested in use in bin.
2025-05-13 21:36:02.723228: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4194304): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-13 21:36:02.723241: 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.
2025-05-13 21:36:02.723255: 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.
2025-05-13 21:36:02.723268: 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.
2025-05-13 21:36:02.723282: 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.
2025-05-13 21:36:02.723295: 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.
2025-05-13 21:36:02.723309: 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.
2025-05-13 21:36:02.723323: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 
2025-05-13 21:36:02.723335: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216
2025-05-13 21:36:02.723353: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac4000000 of size 2359296 next 181
2025-05-13 21:36:02.723366: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac4240000 of size 2097152 next 196
2025-05-13 21:36:02.723378: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac4440000 of size 1048576 next 216
2025-05-13 21:36:02.723399: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f7ac4540000 of size 1310720 next 209
2025-05-13 21:36:02.723412: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac4680000 of size 2359296 next 208
2025-05-13 21:36:02.723424: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac48c0000 of size 1048576 next 234
2025-05-13 21:36:02.723437: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac49c0000 of size 1310720 next 228
2025-05-13 21:36:02.723449: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac4b00000 of size 2359296 next 227
2025-05-13 21:36:02.723461: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac4d40000 of size 2883584 next 18446744073709551615
2025-05-13 21:36:02.723473: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 4080384
2025-05-13 21:36:02.723485: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac5000000 of size 4080384 next 18446744073709551615
2025-05-13 21:36:02.723497: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152
2025-05-13 21:36:02.723509: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6600000 of size 147456 next 55
2025-05-13 21:36:02.723522: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6624000 of size 65536 next 78
2025-05-13 21:36:02.723534: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6634000 of size 4096 next 191
2025-05-13 21:36:02.723546: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6635000 of size 4096 next 192
2025-05-13 21:36:02.723558: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6636000 of size 4096 next 193
2025-05-13 21:36:02.723571: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6637000 of size 256 next 194
2025-05-13 21:36:02.723583: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6637100 of size 256 next 195
2025-05-13 21:36:02.723595: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6637200 of size 4096 next 197
2025-05-13 21:36:02.723607: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6638200 of size 4096 next 198
2025-05-13 21:36:02.723619: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6639200 of size 4096 next 199
2025-05-13 21:36:02.723631: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac663a200 of size 4096 next 200
2025-05-13 21:36:02.723643: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac663b200 of size 4096 next 201
2025-05-13 21:36:02.723655: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac663c200 of size 1024 next 202
2025-05-13 21:36:02.723667: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac663c600 of size 1024 next 204
2025-05-13 21:36:02.723679: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac663ca00 of size 1024 next 205
2025-05-13 21:36:02.723691: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac663ce00 of size 1024 next 206
2025-05-13 21:36:02.723703: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac663d200 of size 1024 next 207
2025-05-13 21:36:02.723715: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac663d600 of size 1024 next 210
2025-05-13 21:36:02.723727: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac663da00 of size 1024 next 211
2025-05-13 21:36:02.723739: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac663de00 of size 1024 next 212
2025-05-13 21:36:02.723751: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac663e200 of size 1024 next 213
2025-05-13 21:36:02.723763: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac663e600 of size 1024 next 214
2025-05-13 21:36:02.723775: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac663ea00 of size 4096 next 215
2025-05-13 21:36:02.723794: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac663fa00 of size 4096 next 217
2025-05-13 21:36:02.723807: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6640a00 of size 4096 next 218
2025-05-13 21:36:02.723819: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6641a00 of size 4096 next 219
2025-05-13 21:36:02.723831: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6642a00 of size 4096 next 220
2025-05-13 21:36:02.723843: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6643a00 of size 1024 next 221
2025-05-13 21:36:02.723854: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6643e00 of size 1024 next 223
2025-05-13 21:36:02.723866: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6644200 of size 1024 next 224
2025-05-13 21:36:02.723878: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6644600 of size 1024 next 225
2025-05-13 21:36:02.723890: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6644a00 of size 1024 next 226
2025-05-13 21:36:02.723902: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6644e00 of size 1024 next 229
2025-05-13 21:36:02.723914: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6645200 of size 1024 next 230
2025-05-13 21:36:02.723926: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6645600 of size 1024 next 231
2025-05-13 21:36:02.723938: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6645a00 of size 1024 next 232
2025-05-13 21:36:02.723950: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6645e00 of size 1024 next 233
2025-05-13 21:36:02.723962: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6646200 of size 7680 next 72
2025-05-13 21:36:02.723974: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6648000 of size 147456 next 71
2025-05-13 21:36:02.723987: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac666c000 of size 131072 next 87
2025-05-13 21:36:02.723999: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f7ac668c000 of size 262144 next 103
2025-05-13 21:36:02.724011: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac66cc000 of size 262144 next 102
2025-05-13 21:36:02.724023: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f7ac670c000 of size 999424 next 18446744073709551615
2025-05-13 21:36:02.724035: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 4194304
2025-05-13 21:36:02.724047: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6800000 of size 589824 next 96
2025-05-13 21:36:02.724059: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6890000 of size 262144 next 117
2025-05-13 21:36:02.724071: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f7ac68d0000 of size 262144 next 112
2025-05-13 21:36:02.724084: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6910000 of size 524288 next 111
2025-05-13 21:36:02.724096: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6990000 of size 262144 next 135
2025-05-13 21:36:02.724108: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac69d0000 of size 327680 next 124
2025-05-13 21:36:02.724120: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6a20000 of size 589824 next 123
2025-05-13 21:36:02.724132: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6ab0000 of size 262144 next 152
2025-05-13 21:36:02.724144: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6af0000 of size 327680 next 142
2025-05-13 21:36:02.724156: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6b40000 of size 786432 next 18446744073709551615
2025-05-13 21:36:02.724168: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 8388608
2025-05-13 21:36:02.724188: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f7ac6c00000 of size 589824 next 160
2025-05-13 21:36:02.724201: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6c90000 of size 589824 next 158
2025-05-13 21:36:02.724213: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6d20000 of size 524288 next 171
2025-05-13 21:36:02.724225: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f7ac6da0000 of size 1048576 next 222
2025-05-13 21:36:02.724237: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6ea0000 of size 1048576 next 190
2025-05-13 21:36:02.724249: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac6fa0000 of size 1048576 next 189
2025-05-13 21:36:02.724261: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac70a0000 of size 1048576 next 203
2025-05-13 21:36:02.724273: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac71a0000 of size 1048576 next 250
2025-05-13 21:36:02.724285: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac72a0000 of size 1441792 next 18446744073709551615
2025-05-13 21:36:02.724297: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 1048576
2025-05-13 21:36:02.724309: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e00000 of size 1280 next 1
2025-05-13 21:36:02.724321: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e00500 of size 256 next 5
2025-05-13 21:36:02.724333: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e00600 of size 256 next 8
2025-05-13 21:36:02.724345: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e00700 of size 256 next 9
2025-05-13 21:36:02.724357: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e00800 of size 256 next 10
2025-05-13 21:36:02.724369: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e00900 of size 256 next 11
2025-05-13 21:36:02.724381: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e00a00 of size 256 next 12
2025-05-13 21:36:02.724393: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e00b00 of size 256 next 13
2025-05-13 21:36:02.724405: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e00c00 of size 256 next 17
2025-05-13 21:36:02.724417: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e00d00 of size 256 next 19
2025-05-13 21:36:02.724432: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e00e00 of size 256 next 20
2025-05-13 21:36:02.724448: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e00f00 of size 256 next 21
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2025-05-13 21:36:02.725569: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1c100 of size 512 next 118
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2025-05-13 21:36:02.726212: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e28900 of size 256 next 178
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2025-05-13 21:36:02.726309: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e29f00 of size 256 next 187
2025-05-13 21:36:02.726322: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e2a000 of size 256 next 188
2025-05-13 21:36:02.726335: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e2a100 of size 4096 next 186
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2025-05-13 21:36:02.726360: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e2c100 of size 65536 next 36
2025-05-13 21:36:02.726373: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e3c100 of size 65536 next 35
2025-05-13 21:36:02.726386: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e4c100 of size 4096 next 235
2025-05-13 21:36:02.726403: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e4d100 of size 4096 next 236
2025-05-13 21:36:02.726418: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e4e100 of size 4096 next 237
2025-05-13 21:36:02.726431: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e4f100 of size 4096 next 238
2025-05-13 21:36:02.726446: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e50100 of size 1024 next 239
2025-05-13 21:36:02.726459: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e50500 of size 1024 next 240
2025-05-13 21:36:02.726471: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e50900 of size 1024 next 241
2025-05-13 21:36:02.726484: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e50d00 of size 1024 next 242
2025-05-13 21:36:02.726497: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e51100 of size 1024 next 243
2025-05-13 21:36:02.726509: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e51500 of size 1024 next 245
2025-05-13 21:36:02.726522: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e51900 of size 1024 next 246
2025-05-13 21:36:02.726534: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e51d00 of size 1024 next 247
2025-05-13 21:36:02.726547: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e52100 of size 1024 next 248
2025-05-13 21:36:02.726560: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e52500 of size 1024 next 249
2025-05-13 21:36:02.726573: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e52900 of size 4096 next 251
2025-05-13 21:36:02.726585: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e53900 of size 4096 next 252
2025-05-13 21:36:02.726598: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e54900 of size 4096 next 253
2025-05-13 21:36:02.726610: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e55900 of size 4096 next 254
2025-05-13 21:36:02.726623: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e56900 of size 4096 next 255
2025-05-13 21:36:02.726636: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e57900 of size 1024 next 256
2025-05-13 21:36:02.726649: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e57d00 of size 1024 next 257
2025-05-13 21:36:02.726661: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e58100 of size 1024 next 258
2025-05-13 21:36:02.726674: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e58500 of size 1024 next 259
2025-05-13 21:36:02.726686: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e58900 of size 1024 next 260
2025-05-13 21:36:02.726699: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e58d00 of size 256 next 261
2025-05-13 21:36:02.726712: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f7c04e58e00 of size 45824 next 27
2025-05-13 21:36:02.726734: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e64100 of size 147456 next 26
2025-05-13 21:36:02.726747: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e88100 of size 65536 next 47
2025-05-13 21:36:02.726760: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e98100 of size 65536 next 59
2025-05-13 21:36:02.726773: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04ea8100 of size 65536 next 65
2025-05-13 21:36:02.726786: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04eb8100 of size 294656 next 18446744073709551615
2025-05-13 21:36:02.726798: I tensorflow/core/common_runtime/bfc_allocator.cc:995]      Summary of in-use Chunks by size: 
2025-05-13 21:36:02.726815: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 60 Chunks of size 256 totalling 15.0KiB
2025-05-13 21:36:02.726830: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB
2025-05-13 21:36:02.726844: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 65 Chunks of size 1024 totalling 65.0KiB
2025-05-13 21:36:02.726858: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB
2025-05-13 21:36:02.726872: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB
2025-05-13 21:36:02.726887: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 24 Chunks of size 4096 totalling 96.0KiB
2025-05-13 21:36:02.726915: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB
2025-05-13 21:36:02.726937: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB
2025-05-13 21:36:02.726953: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB
2025-05-13 21:36:02.726968: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB
2025-05-13 21:36:02.726984: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB
2025-05-13 21:36:02.726999: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB
2025-05-13 21:36:02.727014: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB
2025-05-13 21:36:02.727028: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB
2025-05-13 21:36:02.727041: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB
2025-05-13 21:36:02.727054: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB
2025-05-13 21:36:02.727067: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB
2025-05-13 21:36:02.727081: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB
2025-05-13 21:36:02.727094: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 1048576 totalling 6.00MiB
2025-05-13 21:36:02.727107: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1310720 totalling 1.25MiB
2025-05-13 21:36:02.727120: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB
2025-05-13 21:36:02.727133: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB
2025-05-13 21:36:02.727146: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 2359296 totalling 6.75MiB
2025-05-13 21:36:02.727160: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB
2025-05-13 21:36:02.727173: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 4080384 totalling 3.89MiB
2025-05-13 21:36:02.727186: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 30.58MiB
2025-05-13 21:36:02.727208: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 36586240 memory_limit_: 189661184 available bytes: 153074944 curr_region_allocation_bytes_: 67108864
2025-05-13 21:36:02.727225: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: 
Limit:                   189661184
InUse:                    32067584
MaxInUse:                 32067584
NumAllocs:                     825
MaxAllocSize:              4325376

2025-05-13 21:36:02.727246: W tensorflow/core/common_runtime/bfc_allocator.cc:439] ****************__***********************************xxxx****_************x****__*******************
2025-05-13 21:36:02.727688: W tensorflow/core/framework/op_kernel.cc:1753] OP_REQUIRES failed at cwise_ops_common.h:134 : Resource exhausted: OOM when allocating tensor with shape[3,3,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD              0.7
RPN_TRAIN_ANCHORS_PER_IMAGE    256
STEPS_PER_EPOCH                1000
TRAIN_ROIS_PER_IMAGE           200
USE_MINI_MASK                  True
USE_RPN_ROIS                   True
VALIDATION_STEPS               50
WEIGHT_DECAY                   0.0001


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

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : -12
free memory after detection : 
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 9

############################### 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 : 0.17576146125793457
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
Tue May 13 21:36:04 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 : 61
wait 20 seconds
l 3637 free memory gpu now : 61  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
2025-05-13 21:36:27.012601: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-05-13 21:36:27.039232: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz
2025-05-13 21:36:27.041540: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f7ca8000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-05-13 21:36:27.041590: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-05-13 21:36:27.045797: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-05-13 21:36:27.302671: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2b71c0f0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-05-13 21:36:27.302727: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-05-13 21:36:27.303802: 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
2025-05-13 21:36:27.304262: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-13 21:36:27.306829: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-13 21:36:27.309598: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-13 21:36:27.310175: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-13 21:36:27.312971: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-13 21:36:27.314496: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-13 21:36:27.320288: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-13 21:36:27.321465: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-13 21:36:27.321575: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-13 21:36:27.322276: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-05-13 21:36:27.322297: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-05-13 21:36:27.322311: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-05-13 21:36:27.323361: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 180 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
2025-05-13 21:36:27.980963: 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
2025-05-13 21:36:27.981392: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-13 21:36:27.981426: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-13 21:36:27.981448: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-13 21:36:27.981466: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-13 21:36:27.981483: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-13 21:36:27.981499: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-13 21:36:27.981516: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-13 21:36:27.982250: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-13 21:36:27.983415: 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
2025-05-13 21:36:27.983451: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-13 21:36:27.983469: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-13 21:36:27.983485: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-13 21:36:27.983502: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-13 21:36:27.983518: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-13 21:36:27.983534: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-13 21:36:27.983550: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-13 21:36:27.984198: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-13 21:36:27.984232: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-05-13 21:36:27.984241: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-05-13 21:36:27.984249: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-05-13 21:36:27.984967: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 180 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
2025-05-13 21:36:28.958789: 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
2025-05-13 21:36:28.959405: 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
2025-05-13 21:36:28.959951: 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
2025-05-13 21:36:28.960471: 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
2025-05-13 21:36:28.960984: 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
2025-05-13 21:36:28.961507: 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
2025-05-13 21:36:28.962053: 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
2025-05-13 21:36:28.962560: 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
2025-05-13 21:36:28.963103: 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
2025-05-13 21:36:28.963618: 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
2025-05-13 21:36:28.964164: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 11.16M (11700480 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:36:28.964680: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 10.04M (10530560 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:36:28.965214: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 9.04M (9477632 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:36:28.965735: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 8.13M (8529920 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:36:28.966278: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 7.32M (7676928 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:36:28.966821: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 6.59M (6909440 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:36:28.967416: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 5.93M (6218496 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:36:28.968007: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 5.34M (5596672 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:36:28.968588: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.80M (5037056 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:36:28.969165: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.32M (4533504 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2025-05-13 21:36:29.007689: 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
2025-05-13 21:36:29.008214: 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
2025-05-13 21:36:39.009341: 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
2025-05-13 21:36:39.010175: 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
2025-05-13 21:36:39.010208: 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.
2025-05-13 21:36:39.010230: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc
2025-05-13 21:36:39.010247: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (256): 	Total Chunks: 60, Chunks in use: 60. 15.0KiB allocated for chunks. 15.0KiB in use in bin. 8.8KiB client-requested in use in bin.
2025-05-13 21:36:39.010263: 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.
2025-05-13 21:36:39.010278: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1024): 	Total Chunks: 66, Chunks in use: 66. 66.2KiB allocated for chunks. 66.2KiB in use in bin. 66.0KiB client-requested in use in bin.
2025-05-13 21:36:39.010316: 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.
2025-05-13 21:36:39.010332: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4096): 	Total Chunks: 25, Chunks in use: 25. 103.5KiB allocated for chunks. 103.5KiB in use in bin. 100.0KiB client-requested in use in bin.
2025-05-13 21:36:39.010346: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8192): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-13 21:36:39.010361: 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.
2025-05-13 21:36:39.010376: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (32768): 	Total Chunks: 2, Chunks in use: 1. 81.5KiB allocated for chunks. 36.8KiB in use in bin. 36.8KiB client-requested in use in bin.
2025-05-13 21:36:39.010391: 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.
2025-05-13 21:36:39.010406: 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.
2025-05-13 21:36:39.010421: 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.
2025-05-13 21:36:39.010436: 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.
2025-05-13 21:36:39.010451: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1048576): 	Total Chunks: 10, Chunks in use: 8. 10.88MiB allocated for chunks. 8.62MiB in use in bin. 8.00MiB client-requested in use in bin.
2025-05-13 21:36:39.010466: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2097152): 	Total Chunks: 6, Chunks in use: 6. 15.39MiB allocated for chunks. 15.39MiB in use in bin. 13.25MiB client-requested in use in bin.
2025-05-13 21:36:39.010480: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4194304): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-13 21:36:39.010493: 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.
2025-05-13 21:36:39.010506: 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.
2025-05-13 21:36:39.010519: 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.
2025-05-13 21:36:39.010532: 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.
2025-05-13 21:36:39.010545: 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.
2025-05-13 21:36:39.010558: 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.
2025-05-13 21:36:39.010581: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 
2025-05-13 21:36:39.010593: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216
2025-05-13 21:36:39.010608: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac4000000 of size 2359296 next 181
2025-05-13 21:36:39.010621: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac4240000 of size 2097152 next 196
2025-05-13 21:36:39.010633: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac4440000 of size 1048576 next 216
2025-05-13 21:36:39.010645: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f7ac4540000 of size 1310720 next 209
2025-05-13 21:36:39.010657: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac4680000 of size 2359296 next 208
2025-05-13 21:36:39.010668: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac48c0000 of size 1048576 next 234
2025-05-13 21:36:39.010680: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac49c0000 of size 1310720 next 228
2025-05-13 21:36:39.010692: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac4b00000 of size 2359296 next 227
2025-05-13 21:36:39.010704: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac4d40000 of size 2883584 next 18446744073709551615
2025-05-13 21:36:39.010715: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 4080384
2025-05-13 21:36:39.010727: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7ac5000000 of size 4080384 next 18446744073709551615
2025-05-13 21:36:39.010739: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152
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2025-05-13 21:36:39.012568: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e0dc00 of size 2048 next 104
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2025-05-13 21:36:39.012591: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e0ec00 of size 2048 next 106
2025-05-13 21:36:39.012603: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e0f400 of size 2048 next 107
2025-05-13 21:36:39.012614: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e0fc00 of size 2048 next 108
2025-05-13 21:36:39.012626: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e10400 of size 256 next 109
2025-05-13 21:36:39.012637: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e10500 of size 256 next 110
2025-05-13 21:36:39.012649: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e10600 of size 2048 next 113
2025-05-13 21:36:39.012661: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e10e00 of size 2048 next 114
2025-05-13 21:36:39.012672: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e11600 of size 2048 next 115
2025-05-13 21:36:39.012684: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e11e00 of size 2048 next 116
2025-05-13 21:36:39.012695: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e12600 of size 2048 next 6
2025-05-13 21:36:39.012707: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e12e00 of size 37632 next 7
2025-05-13 21:36:39.012719: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1c100 of size 512 next 118
2025-05-13 21:36:39.012730: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1c300 of size 512 next 119
2025-05-13 21:36:39.012742: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1c500 of size 512 next 120
2025-05-13 21:36:39.012753: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1c700 of size 512 next 121
2025-05-13 21:36:39.012765: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1c900 of size 512 next 122
2025-05-13 21:36:39.012776: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1cb00 of size 512 next 125
2025-05-13 21:36:39.012788: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1cd00 of size 512 next 126
2025-05-13 21:36:39.012800: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1cf00 of size 512 next 127
2025-05-13 21:36:39.012811: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1d100 of size 512 next 128
2025-05-13 21:36:39.012823: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1d300 of size 512 next 129
2025-05-13 21:36:39.012834: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1d500 of size 2048 next 130
2025-05-13 21:36:39.012846: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1dd00 of size 2048 next 131
2025-05-13 21:36:39.012857: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1e500 of size 2048 next 132
2025-05-13 21:36:39.012869: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1ed00 of size 2048 next 133
2025-05-13 21:36:39.012880: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1f500 of size 2048 next 134
2025-05-13 21:36:39.012892: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1fd00 of size 512 next 136
2025-05-13 21:36:39.012903: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e1ff00 of size 512 next 137
2025-05-13 21:36:39.012915: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e20100 of size 512 next 138
2025-05-13 21:36:39.012926: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e20300 of size 512 next 139
2025-05-13 21:36:39.012938: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e20500 of size 512 next 140
2025-05-13 21:36:39.012957: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e20700 of size 512 next 141
2025-05-13 21:36:39.012969: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e20900 of size 512 next 143
2025-05-13 21:36:39.012981: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e20b00 of size 512 next 144
2025-05-13 21:36:39.012992: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e20d00 of size 512 next 145
2025-05-13 21:36:39.013004: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e20f00 of size 512 next 146
2025-05-13 21:36:39.013015: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e21100 of size 2048 next 147
2025-05-13 21:36:39.013027: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e21900 of size 2048 next 148
2025-05-13 21:36:39.013038: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e22100 of size 2048 next 149
2025-05-13 21:36:39.013050: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e22900 of size 2048 next 150
2025-05-13 21:36:39.013061: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e23100 of size 2048 next 151
2025-05-13 21:36:39.013073: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e23900 of size 512 next 153
2025-05-13 21:36:39.013085: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e23b00 of size 512 next 154
2025-05-13 21:36:39.013096: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e23d00 of size 512 next 155
2025-05-13 21:36:39.013108: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e23f00 of size 512 next 156
2025-05-13 21:36:39.013119: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e24100 of size 512 next 157
2025-05-13 21:36:39.013130: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e24300 of size 512 next 161
2025-05-13 21:36:39.013142: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e24500 of size 512 next 162
2025-05-13 21:36:39.013154: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e24700 of size 512 next 163
2025-05-13 21:36:39.013165: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e24900 of size 512 next 164
2025-05-13 21:36:39.013177: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e24b00 of size 512 next 165
2025-05-13 21:36:39.013188: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e24d00 of size 2048 next 166
2025-05-13 21:36:39.013200: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e25500 of size 2048 next 167
2025-05-13 21:36:39.013211: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e25d00 of size 2048 next 168
2025-05-13 21:36:39.013223: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e26500 of size 2048 next 169
2025-05-13 21:36:39.013235: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e26d00 of size 2048 next 170
2025-05-13 21:36:39.013246: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e27500 of size 1024 next 172
2025-05-13 21:36:39.013258: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e27900 of size 1024 next 173
2025-05-13 21:36:39.013270: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e27d00 of size 1024 next 174
2025-05-13 21:36:39.013281: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e28100 of size 1024 next 175
2025-05-13 21:36:39.013293: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e28500 of size 1024 next 176
2025-05-13 21:36:39.013304: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e28900 of size 256 next 178
2025-05-13 21:36:39.013316: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e28a00 of size 256 next 179
2025-05-13 21:36:39.013335: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e28b00 of size 1024 next 177
2025-05-13 21:36:39.013347: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e28f00 of size 1024 next 182
2025-05-13 21:36:39.013359: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e29300 of size 1024 next 183
2025-05-13 21:36:39.013371: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e29700 of size 1024 next 184
2025-05-13 21:36:39.013382: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e29b00 of size 1024 next 185
2025-05-13 21:36:39.013394: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e29f00 of size 256 next 187
2025-05-13 21:36:39.013405: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e2a000 of size 256 next 188
2025-05-13 21:36:39.013417: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e2a100 of size 4096 next 186
2025-05-13 21:36:39.013428: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e2b100 of size 4096 next 42
2025-05-13 21:36:39.013440: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e2c100 of size 65536 next 36
2025-05-13 21:36:39.013452: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e3c100 of size 65536 next 35
2025-05-13 21:36:39.013463: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e4c100 of size 4096 next 235
2025-05-13 21:36:39.013475: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e4d100 of size 4096 next 236
2025-05-13 21:36:39.013486: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e4e100 of size 4096 next 237
2025-05-13 21:36:39.013498: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e4f100 of size 4096 next 238
2025-05-13 21:36:39.013510: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e50100 of size 1024 next 239
2025-05-13 21:36:39.013521: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e50500 of size 1024 next 240
2025-05-13 21:36:39.013533: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e50900 of size 1024 next 241
2025-05-13 21:36:39.013544: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e50d00 of size 1024 next 242
2025-05-13 21:36:39.013556: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e51100 of size 1024 next 243
2025-05-13 21:36:39.013568: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e51500 of size 1024 next 245
2025-05-13 21:36:39.013579: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e51900 of size 1024 next 246
2025-05-13 21:36:39.013591: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e51d00 of size 1024 next 247
2025-05-13 21:36:39.013602: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e52100 of size 1024 next 248
2025-05-13 21:36:39.013614: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e52500 of size 1024 next 249
2025-05-13 21:36:39.013625: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e52900 of size 4096 next 251
2025-05-13 21:36:39.013637: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e53900 of size 4096 next 252
2025-05-13 21:36:39.013648: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e54900 of size 4096 next 253
2025-05-13 21:36:39.013660: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e55900 of size 4096 next 254
2025-05-13 21:36:39.013672: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e56900 of size 4096 next 255
2025-05-13 21:36:39.013683: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e57900 of size 1024 next 256
2025-05-13 21:36:39.013695: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e57d00 of size 1024 next 257
2025-05-13 21:36:39.013714: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e58100 of size 1024 next 258
2025-05-13 21:36:39.013726: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e58500 of size 1024 next 259
2025-05-13 21:36:39.013738: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e58900 of size 1024 next 260
2025-05-13 21:36:39.013749: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e58d00 of size 256 next 261
2025-05-13 21:36:39.013761: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7f7c04e58e00 of size 45824 next 27
2025-05-13 21:36:39.013772: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e64100 of size 147456 next 26
2025-05-13 21:36:39.013784: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e88100 of size 65536 next 47
2025-05-13 21:36:39.013796: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04e98100 of size 65536 next 59
2025-05-13 21:36:39.013807: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04ea8100 of size 65536 next 65
2025-05-13 21:36:39.013819: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7f7c04eb8100 of size 294656 next 18446744073709551615
2025-05-13 21:36:39.013830: I tensorflow/core/common_runtime/bfc_allocator.cc:995]      Summary of in-use Chunks by size: 
2025-05-13 21:36:39.013845: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 60 Chunks of size 256 totalling 15.0KiB
2025-05-13 21:36:39.013859: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB
2025-05-13 21:36:39.013872: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 65 Chunks of size 1024 totalling 65.0KiB
2025-05-13 21:36:39.013885: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB
2025-05-13 21:36:39.013898: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB
2025-05-13 21:36:39.013911: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 24 Chunks of size 4096 totalling 96.0KiB
2025-05-13 21:36:39.013923: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB
2025-05-13 21:36:39.013936: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB
2025-05-13 21:36:39.013949: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB
2025-05-13 21:36:39.013962: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB
2025-05-13 21:36:39.013975: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB
2025-05-13 21:36:39.013988: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB
2025-05-13 21:36:39.014001: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB
2025-05-13 21:36:39.014014: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB
2025-05-13 21:36:39.014027: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB
2025-05-13 21:36:39.014040: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB
2025-05-13 21:36:39.014053: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB
2025-05-13 21:36:39.014066: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB
2025-05-13 21:36:39.014078: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 1048576 totalling 6.00MiB
2025-05-13 21:36:39.014091: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1310720 totalling 1.25MiB
2025-05-13 21:36:39.014104: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB
2025-05-13 21:36:39.014117: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB
2025-05-13 21:36:39.014137: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 2359296 totalling 6.75MiB
2025-05-13 21:36:39.014150: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB
2025-05-13 21:36:39.014163: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 4080384 totalling 3.89MiB
2025-05-13 21:36:39.014176: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 30.58MiB
2025-05-13 21:36:39.014188: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 36586240 memory_limit_: 189661184 available bytes: 153074944 curr_region_allocation_bytes_: 67108864
2025-05-13 21:36:39.014204: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: 
Limit:                   189661184
InUse:                    32067584
MaxInUse:                 32067584
NumAllocs:                     825
MaxAllocSize:              4325376

2025-05-13 21:36:39.014225: W tensorflow/core/common_runtime/bfc_allocator.cc:439] ****************__***********************************xxxx****_************x****__*******************
2025-05-13 21:36:39.014267: W tensorflow/core/framework/op_kernel.cc:1753] OP_REQUIRES failed at cwise_ops_common.h:134 : Resource exhausted: OOM when allocating tensor with shape[3,3,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD              0.7
RPN_TRAIN_ANCHORS_PER_IMAGE    256
STEPS_PER_EPOCH                1000
TRAIN_ROIS_PER_IMAGE           200
USE_MINI_MASK                  True
USE_RPN_ROIS                   True
VALIDATION_STEPS               50
WEIGHT_DECAY                   0.0001


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

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


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


Error : invalid literal for int() with base 10: "'int' object is not subscriptable"
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_6b55ca732dc5789dd54794d418371b3abe63c01d
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_6b55ca732dc5789dd54794d418371b3abe63c01d','{"mask_detection": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/May/13052025/python_test3//data_2/data_log/job/2025/May/13052025/python_test3/log-python3----short_python3--v--marlene-21:35:00.txt','mask_detection','unknown');

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





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


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

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

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

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

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (1189321094) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 1189321094
download finish for photo 1189321094
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.2535674571990967
#### 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
Tue May 13 21:36:39 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/1747164999_229495_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png': 1189321094}
map_photo_id_path_extension : {1189321094: {'path': 'temp/1747164999_229495_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 : 0.01300048828125
 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 : 3.42803692817688
time spend to save output : 0.014663219451904297
total time spend for step 0 : 3.442700147628784
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 : 0.14269471168518066
#### 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
Tue May 13 21:36:43 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/1747165003_229495_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg': 917754606}
map_photo_id_path_extension : {917754606: {'path': 'temp/1747165003_229495_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
E0513 21:36:44.700802 229495 common.cpp:114] Cannot create Cublas handle. Cublas won't be available.
E0513 21:36:44.704372 229495 common.cpp:121] Cannot create Curand generator. Curand won't be available.
F0513 21:36:44.711941 229495 syncedmem.hpp:22] Check failed: error == cudaSuccess (2 vs. 0)  out of memory
*** Check failure stack trace: ***
Command terminated by signal 6
6.68user 7.20system 1:20.43elapsed 17%CPU (0avgtext+0avgdata 1179704maxresident)k
1790504inputs+3432outputs (6012major+589503minor)pagefaults 0swaps