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 : 348

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 : 0.23381710052490234
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
Fri May  2 00:35:28 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Beginning of datou step mask_detect !
save_polygon : True

 begin detect 

begin to check gpu status 
inside check gpu memory
havn't enough memory gpu , need / 3000
l 3632 free memory gpu now : 348
wait 20 seconds
l 3637 free memory gpu now : 348  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
2025-05-02 00:35:50.894427: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-05-02 00:35:50.919144: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz
2025-05-02 00:35:50.920964: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7ff844000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-05-02 00:35:50.921020: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-05-02 00:35:50.924859: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-05-02 00:35:51.147537: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1d28bc00 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-05-02 00:35:51.147578: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-05-02 00:35:51.148430: 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
2025-05-02 00:35:51.148809: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-02 00:35:51.154785: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-02 00:35:51.157029: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-02 00:35:51.157387: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-02 00:35:51.159949: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-02 00:35:51.161126: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-02 00:35:51.165853: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-02 00:35:51.166635: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-02 00:35:51.166689: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-02 00:35:51.167159: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-05-02 00:35:51.167176: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-05-02 00:35:51.167185: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-05-02 00:35:51.168268: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 196 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
2025-05-02 00:35:51.822957: 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
2025-05-02 00:35:51.823032: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-02 00:35:51.823049: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-02 00:35:51.823064: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-02 00:35:51.823079: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-02 00:35:51.823093: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-02 00:35:51.823118: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-02 00:35:51.823134: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-02 00:35:51.823807: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-02 00:35:51.824631: 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
2025-05-02 00:35:51.824667: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-02 00:35:51.824683: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-02 00:35:51.824697: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-02 00:35:51.824711: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-02 00:35:51.824725: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-02 00:35:51.824739: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-02 00:35:51.824753: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-02 00:35:51.825400: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-02 00:35:51.825426: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-05-02 00:35:51.825434: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-05-02 00:35:51.825440: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-05-02 00:35:51.826121: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 196 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
2025-05-02 00:35:53.214311: 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
2025-05-02 00:35:53.214836: 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
2025-05-02 00:35:53.215329: 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
2025-05-02 00:35:53.215822: 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
2025-05-02 00:35:53.216315: 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
2025-05-02 00:35:53.216811: 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
2025-05-02 00:35:53.217279: 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
2025-05-02 00:35:53.217733: 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
2025-05-02 00:35:53.218192: 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
2025-05-02 00:35:53.218662: 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
2025-05-02 00:35:53.219135: 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
2025-05-02 00:35:53.219603: 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
2025-05-02 00:35:53.284193: 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
2025-05-02 00:35:53.284664: 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
2025-05-02 00:36:03.285669: 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
2025-05-02 00:36:03.286491: 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
2025-05-02 00:36:03.286523: 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.
2025-05-02 00:36:03.286545: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc
2025-05-02 00:36:03.286563: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (256): 	Total Chunks: 59, Chunks in use: 59. 14.8KiB allocated for chunks. 14.8KiB in use in bin. 8.8KiB client-requested in use in bin.
2025-05-02 00:36:03.286579: 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.
2025-05-02 00:36:03.286594: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1024): 	Total Chunks: 76, Chunks in use: 76. 76.2KiB allocated for chunks. 76.2KiB in use in bin. 76.0KiB client-requested in use in bin.
2025-05-02 00:36:03.286609: 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.
2025-05-02 00:36:03.286624: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4096): 	Total Chunks: 30, Chunks in use: 30. 123.5KiB allocated for chunks. 123.5KiB in use in bin. 120.0KiB client-requested in use in bin.
2025-05-02 00:36:03.286639: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8192): 	Total Chunks: 1, Chunks in use: 0. 15.0KiB allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-02 00:36:03.286654: 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.
2025-05-02 00:36:03.286669: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (32768): 	Total Chunks: 1, Chunks in use: 1. 36.8KiB allocated for chunks. 36.8KiB in use in bin. 36.8KiB client-requested in use in bin.
2025-05-02 00:36:03.286683: 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.
2025-05-02 00:36:03.286698: 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.
2025-05-02 00:36:03.286713: 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.
2025-05-02 00:36:03.286727: 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.
2025-05-02 00:36:03.286756: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1048576): 	Total Chunks: 12, Chunks in use: 10. 13.12MiB allocated for chunks. 10.88MiB in use in bin. 10.00MiB client-requested in use in bin.
2025-05-02 00:36:03.286771: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2097152): 	Total Chunks: 8, Chunks in use: 8. 18.29MiB allocated for chunks. 18.29MiB in use in bin. 17.75MiB client-requested in use in bin.
2025-05-02 00:36:03.286784: 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.
2025-05-02 00:36:03.286797: 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.
2025-05-02 00:36:03.286810: 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.
2025-05-02 00:36:03.286823: 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.
2025-05-02 00:36:03.286836: 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.
2025-05-02 00:36:03.286849: 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.
2025-05-02 00:36:03.286862: 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.
2025-05-02 00:36:03.286875: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 
2025-05-02 00:36:03.286887: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216
2025-05-02 00:36:03.286921: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65e000000 of size 2359296 next 181
2025-05-02 00:36:03.286941: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65e240000 of size 2097152 next 196
2025-05-02 00:36:03.286955: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65e440000 of size 1048576 next 216
2025-05-02 00:36:03.286970: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7ff65e540000 of size 1310720 next 209
2025-05-02 00:36:03.286984: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65e680000 of size 2359296 next 208
2025-05-02 00:36:03.286996: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65e8c0000 of size 1048576 next 234
2025-05-02 00:36:03.287009: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65e9c0000 of size 1310720 next 228
2025-05-02 00:36:03.287020: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65eb00000 of size 2359296 next 227
2025-05-02 00:36:03.287032: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65ed40000 of size 2883584 next 18446744073709551615
2025-05-02 00:36:03.287043: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 9477632
2025-05-02 00:36:03.287055: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65f000000 of size 2359296 next 245
2025-05-02 00:36:03.287066: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65f240000 of size 1048576 next 269
2025-05-02 00:36:03.287078: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65f340000 of size 1310720 next 263
2025-05-02 00:36:03.287099: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65f480000 of size 2359296 next 262
2025-05-02 00:36:03.287111: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65f6c0000 of size 2399744 next 18446744073709551615
2025-05-02 00:36:03.287122: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152
2025-05-02 00:36:03.287134: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660600000 of size 147456 next 55
2025-05-02 00:36:03.287146: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660624000 of size 65536 next 78
2025-05-02 00:36:03.287158: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660634000 of size 4096 next 191
2025-05-02 00:36:03.287169: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660635000 of size 4096 next 192
2025-05-02 00:36:03.287181: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660636000 of size 4096 next 193
2025-05-02 00:36:03.287193: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660637000 of size 256 next 194
2025-05-02 00:36:03.287204: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660637100 of size 256 next 195
2025-05-02 00:36:03.287216: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660637200 of size 4096 next 197
2025-05-02 00:36:03.287232: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660638200 of size 4096 next 198
2025-05-02 00:36:03.287243: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660639200 of size 4096 next 199
2025-05-02 00:36:03.287255: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff66063a200 of size 4096 next 200
2025-05-02 00:36:03.287266: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff66063b200 of size 4096 next 201
2025-05-02 00:36:03.287278: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff66063c200 of size 1024 next 202
2025-05-02 00:36:03.287290: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff66063c600 of size 1024 next 204
2025-05-02 00:36:03.287301: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff66063ca00 of size 1024 next 205
2025-05-02 00:36:03.287312: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff66063ce00 of size 1024 next 206
2025-05-02 00:36:03.287324: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff66063d200 of size 1024 next 207
2025-05-02 00:36:03.287335: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff66063d600 of size 1024 next 210
2025-05-02 00:36:03.287346: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff66063da00 of size 1024 next 211
2025-05-02 00:36:03.287358: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff66063de00 of size 1024 next 212
2025-05-02 00:36:03.287369: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff66063e200 of size 1024 next 213
2025-05-02 00:36:03.287380: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff66063e600 of size 1024 next 214
2025-05-02 00:36:03.287392: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff66063ea00 of size 4096 next 215
2025-05-02 00:36:03.287403: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff66063fa00 of size 4096 next 217
2025-05-02 00:36:03.287414: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660640a00 of size 4096 next 218
2025-05-02 00:36:03.287426: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660641a00 of size 4096 next 219
2025-05-02 00:36:03.287437: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660642a00 of size 4096 next 220
2025-05-02 00:36:03.287448: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660643a00 of size 1024 next 221
2025-05-02 00:36:03.287460: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660643e00 of size 1024 next 223
2025-05-02 00:36:03.287471: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660644200 of size 1024 next 224
2025-05-02 00:36:03.287491: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660644600 of size 1024 next 225
2025-05-02 00:36:03.287502: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660644a00 of size 1024 next 226
2025-05-02 00:36:03.287514: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660644e00 of size 1024 next 229
2025-05-02 00:36:03.287525: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660645200 of size 1024 next 230
2025-05-02 00:36:03.287536: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660645600 of size 1024 next 231
2025-05-02 00:36:03.287548: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660645a00 of size 1024 next 232
2025-05-02 00:36:03.287559: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660645e00 of size 1024 next 233
2025-05-02 00:36:03.287571: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660646200 of size 7680 next 72
2025-05-02 00:36:03.287582: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660648000 of size 147456 next 71
2025-05-02 00:36:03.287594: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff66066c000 of size 131072 next 87
2025-05-02 00:36:03.287606: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7ff66068c000 of size 262144 next 103
2025-05-02 00:36:03.287617: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff6606cc000 of size 262144 next 102
2025-05-02 00:36:03.287629: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7ff66070c000 of size 999424 next 18446744073709551615
2025-05-02 00:36:03.287640: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 4194304
2025-05-02 00:36:03.287652: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660800000 of size 589824 next 96
2025-05-02 00:36:03.287664: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660890000 of size 262144 next 117
2025-05-02 00:36:03.287675: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7ff6608d0000 of size 262144 next 112
2025-05-02 00:36:03.287687: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660910000 of size 524288 next 111
2025-05-02 00:36:03.287698: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660990000 of size 262144 next 135
2025-05-02 00:36:03.287710: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff6609d0000 of size 327680 next 124
2025-05-02 00:36:03.287721: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660a20000 of size 589824 next 123
2025-05-02 00:36:03.287733: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660ab0000 of size 262144 next 152
2025-05-02 00:36:03.287744: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660af0000 of size 327680 next 142
2025-05-02 00:36:03.287756: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660b40000 of size 786432 next 18446744073709551615
2025-05-02 00:36:03.287767: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 8388608
2025-05-02 00:36:03.287779: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7ff660c00000 of size 589824 next 160
2025-05-02 00:36:03.287790: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660c90000 of size 589824 next 158
2025-05-02 00:36:03.287802: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660d20000 of size 524288 next 171
2025-05-02 00:36:03.287813: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7ff660da0000 of size 1048576 next 222
2025-05-02 00:36:03.287824: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660ea0000 of size 1048576 next 190
2025-05-02 00:36:03.287836: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff660fa0000 of size 1048576 next 189
2025-05-02 00:36:03.287847: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff6610a0000 of size 1048576 next 203
2025-05-02 00:36:03.287867: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff6611a0000 of size 1048576 next 251
2025-05-02 00:36:03.287879: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff6612a0000 of size 1441792 next 18446744073709551615
2025-05-02 00:36:03.287890: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 1048576
2025-05-02 00:36:03.287902: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce00000 of size 1280 next 1
2025-05-02 00:36:03.287913: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce00500 of size 256 next 5
2025-05-02 00:36:03.287925: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce00600 of size 256 next 8
2025-05-02 00:36:03.287937: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce00700 of size 256 next 9
2025-05-02 00:36:03.287948: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce00800 of size 256 next 10
2025-05-02 00:36:03.287960: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce00900 of size 256 next 11
2025-05-02 00:36:03.287971: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce00a00 of size 256 next 12
2025-05-02 00:36:03.287982: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce00b00 of size 256 next 13
2025-05-02 00:36:03.287994: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce00c00 of size 256 next 17
2025-05-02 00:36:03.288005: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce00d00 of size 256 next 19
2025-05-02 00:36:03.288017: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce00e00 of size 256 next 20
2025-05-02 00:36:03.288028: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce00f00 of size 256 next 21
2025-05-02 00:36:03.288039: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce01000 of size 256 next 22
2025-05-02 00:36:03.288051: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce01100 of size 256 next 24
2025-05-02 00:36:03.288062: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce01200 of size 256 next 25
2025-05-02 00:36:03.288073: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce01300 of size 256 next 23
2025-05-02 00:36:03.288085: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce01400 of size 256 next 28
2025-05-02 00:36:03.288096: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce01500 of size 256 next 29
2025-05-02 00:36:03.288108: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce01600 of size 256 next 30
2025-05-02 00:36:03.288119: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce01700 of size 256 next 31
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2025-05-02 00:36:03.289702: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce2a100 of size 4096 next 186
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2025-05-02 00:36:03.289725: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce2c100 of size 65536 next 36
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2025-05-02 00:36:03.289903: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce52500 of size 1024 next 250
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2025-05-02 00:36:03.289971: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce57900 of size 1024 next 257
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2025-05-02 00:36:03.290005: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce58500 of size 1024 next 260
2025-05-02 00:36:03.290017: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce58900 of size 1024 next 261
2025-05-02 00:36:03.290028: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce58d00 of size 1024 next 264
2025-05-02 00:36:03.290039: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce59100 of size 1024 next 265
2025-05-02 00:36:03.290051: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce59500 of size 1024 next 266
2025-05-02 00:36:03.290062: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce59900 of size 1024 next 267
2025-05-02 00:36:03.290074: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce59d00 of size 1024 next 268
2025-05-02 00:36:03.290085: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce5a100 of size 4096 next 270
2025-05-02 00:36:03.290096: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce5b100 of size 4096 next 271
2025-05-02 00:36:03.290108: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce5c100 of size 4096 next 272
2025-05-02 00:36:03.290119: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce5d100 of size 4096 next 273
2025-05-02 00:36:03.290138: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce5e100 of size 4096 next 274
2025-05-02 00:36:03.290150: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce5f100 of size 1024 next 275
2025-05-02 00:36:03.290161: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce5f500 of size 1024 next 276
2025-05-02 00:36:03.290173: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce5f900 of size 1024 next 277
2025-05-02 00:36:03.290184: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce5fd00 of size 1024 next 278
2025-05-02 00:36:03.290195: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce60100 of size 1024 next 279
2025-05-02 00:36:03.290207: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7ff79ce60500 of size 15360 next 27
2025-05-02 00:36:03.290218: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce64100 of size 147456 next 26
2025-05-02 00:36:03.290230: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce88100 of size 65536 next 47
2025-05-02 00:36:03.290241: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ce98100 of size 65536 next 59
2025-05-02 00:36:03.290253: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79cea8100 of size 65536 next 65
2025-05-02 00:36:03.290265: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ceb8100 of size 294656 next 18446744073709551615
2025-05-02 00:36:03.290276: I tensorflow/core/common_runtime/bfc_allocator.cc:995]      Summary of in-use Chunks by size: 
2025-05-02 00:36:03.290291: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 59 Chunks of size 256 totalling 14.8KiB
2025-05-02 00:36:03.290304: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB
2025-05-02 00:36:03.290317: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 75 Chunks of size 1024 totalling 75.0KiB
2025-05-02 00:36:03.290330: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB
2025-05-02 00:36:03.290343: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB
2025-05-02 00:36:03.290356: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 29 Chunks of size 4096 totalling 116.0KiB
2025-05-02 00:36:03.290369: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB
2025-05-02 00:36:03.290381: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB
2025-05-02 00:36:03.290394: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB
2025-05-02 00:36:03.290407: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB
2025-05-02 00:36:03.290420: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB
2025-05-02 00:36:03.290433: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB
2025-05-02 00:36:03.290446: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB
2025-05-02 00:36:03.290458: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB
2025-05-02 00:36:03.290471: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB
2025-05-02 00:36:03.290484: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB
2025-05-02 00:36:03.290496: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB
2025-05-02 00:36:03.290509: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB
2025-05-02 00:36:03.290522: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 7 Chunks of size 1048576 totalling 7.00MiB
2025-05-02 00:36:03.290543: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 1310720 totalling 2.50MiB
2025-05-02 00:36:03.290556: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB
2025-05-02 00:36:03.290569: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB
2025-05-02 00:36:03.290582: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 5 Chunks of size 2359296 totalling 11.25MiB
2025-05-02 00:36:03.290594: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2399744 totalling 2.29MiB
2025-05-02 00:36:03.290607: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB
2025-05-02 00:36:03.290619: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 35.76MiB
2025-05-02 00:36:03.290631: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 41983488 memory_limit_: 206438400 available bytes: 164454912 curr_region_allocation_bytes_: 67108864
2025-05-02 00:36:03.290647: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: 
Limit:                   206438400
InUse:                    37495296
MaxInUse:                 37495552
NumAllocs:                     889
MaxAllocSize:              4325376

2025-05-02 00:36:03.290668: W tensorflow/core/common_runtime/bfc_allocator.cc:439] **************__**************************************************_***************__****************
2025-05-02 00:36:03.294276: W tensorflow/core/framework/op_kernel.cc:1753] OP_REQUIRES failed at cwise_ops_common.h:134 : Resource exhausted: OOM when allocating tensor with shape[3,3,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD              0.7
RPN_TRAIN_ANCHORS_PER_IMAGE    256
STEPS_PER_EPOCH                1000
TRAIN_ROIS_PER_IMAGE           200
USE_MINI_MASK                  True
USE_RPN_ROIS                   True
VALIDATION_STEPS               50
WEIGHT_DECAY                   0.0001


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

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

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

run mask_detect

Inside batchDatouExec : verbose : False
Catched exception !
Connect or reconnect !
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
List Step Type Loaded in datou : mask_detect
list_input_json : []
origin
BFwe have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
time to download the photos : 0.21026372909545898
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
Fri May  2 00:36:04 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 : 348
wait 20 seconds
l 3637 free memory gpu now : 348  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
2025-05-02 00:36:27.464820: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-05-02 00:36:27.495120: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz
2025-05-02 00:36:27.497261: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7ff844000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-05-02 00:36:27.497326: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-05-02 00:36:27.509812: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-05-02 00:36:27.778006: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1d29f440 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-05-02 00:36:27.778064: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-05-02 00:36:27.778799: 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
2025-05-02 00:36:27.779326: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-02 00:36:27.782650: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-02 00:36:27.786058: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-02 00:36:27.786625: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-02 00:36:27.789614: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-02 00:36:27.790727: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-02 00:36:27.795532: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-02 00:36:27.796454: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-02 00:36:27.796537: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-02 00:36:27.797069: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-05-02 00:36:27.797088: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-05-02 00:36:27.797099: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-05-02 00:36:27.797973: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 196 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
2025-05-02 00:36:28.386882: 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
2025-05-02 00:36:28.386988: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-02 00:36:28.387009: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-02 00:36:28.387028: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-02 00:36:28.387046: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-02 00:36:28.387064: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-02 00:36:28.387082: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-02 00:36:28.387100: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-02 00:36:28.387899: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-02 00:36:28.388842: 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
2025-05-02 00:36:28.388883: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-05-02 00:36:28.388902: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-05-02 00:36:28.388919: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-05-02 00:36:28.388936: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-05-02 00:36:28.388953: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-05-02 00:36:28.388970: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-05-02 00:36:28.388987: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-05-02 00:36:28.389774: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-05-02 00:36:28.389805: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-05-02 00:36:28.389816: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-05-02 00:36:28.389825: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-05-02 00:36:28.390669: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 196 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
2025-05-02 00:36:29.312310: 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
2025-05-02 00:36:29.312847: 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
2025-05-02 00:36:29.313304: 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
2025-05-02 00:36:29.313768: 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
2025-05-02 00:36:29.314594: 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
2025-05-02 00:36:29.315201: 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
2025-05-02 00:36:29.315706: 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
2025-05-02 00:36:29.316177: 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
2025-05-02 00:36:29.316631: 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
2025-05-02 00:36:29.317085: 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
2025-05-02 00:36:29.317547: 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
2025-05-02 00:36:29.318008: 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
2025-05-02 00:36:29.390744: 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
2025-05-02 00:36:29.391260: 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
2025-05-02 00:36:39.392050: 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
2025-05-02 00:36:39.392588: 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
2025-05-02 00:36:39.392616: 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.
2025-05-02 00:36:39.392642: I tensorflow/core/common_runtime/bfc_allocator.cc:934] BFCAllocator dump for GPU_0_bfc
2025-05-02 00:36:39.392654: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (256): 	Total Chunks: 59, Chunks in use: 59. 14.8KiB allocated for chunks. 14.8KiB in use in bin. 8.8KiB client-requested in use in bin.
2025-05-02 00:36:39.392665: 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.
2025-05-02 00:36:39.392677: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1024): 	Total Chunks: 76, Chunks in use: 76. 76.2KiB allocated for chunks. 76.2KiB in use in bin. 76.0KiB client-requested in use in bin.
2025-05-02 00:36:39.392689: 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.
2025-05-02 00:36:39.392700: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (4096): 	Total Chunks: 30, Chunks in use: 30. 123.5KiB allocated for chunks. 123.5KiB in use in bin. 120.0KiB client-requested in use in bin.
2025-05-02 00:36:39.392737: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (8192): 	Total Chunks: 1, Chunks in use: 0. 15.0KiB allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2025-05-02 00:36:39.392747: 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.
2025-05-02 00:36:39.392755: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (32768): 	Total Chunks: 1, Chunks in use: 1. 36.8KiB allocated for chunks. 36.8KiB in use in bin. 36.8KiB client-requested in use in bin.
2025-05-02 00:36:39.392764: 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.
2025-05-02 00:36:39.392772: 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.
2025-05-02 00:36:39.392781: 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.
2025-05-02 00:36:39.392789: 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.
2025-05-02 00:36:39.392798: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (1048576): 	Total Chunks: 12, Chunks in use: 10. 13.12MiB allocated for chunks. 10.88MiB in use in bin. 10.00MiB client-requested in use in bin.
2025-05-02 00:36:39.392808: I tensorflow/core/common_runtime/bfc_allocator.cc:941] Bin (2097152): 	Total Chunks: 8, Chunks in use: 8. 18.29MiB allocated for chunks. 18.29MiB in use in bin. 17.75MiB client-requested in use in bin.
2025-05-02 00:36:39.392817: 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.
2025-05-02 00:36:39.392826: 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.
2025-05-02 00:36:39.392835: 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.
2025-05-02 00:36:39.392844: 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.
2025-05-02 00:36:39.392853: 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.
2025-05-02 00:36:39.392862: 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.
2025-05-02 00:36:39.392872: 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.
2025-05-02 00:36:39.392883: I tensorflow/core/common_runtime/bfc_allocator.cc:957] Bin for 2.25MiB was 2.00MiB, Chunk State: 
2025-05-02 00:36:39.392890: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 16777216
2025-05-02 00:36:39.392906: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65c000000 of size 2359296 next 181
2025-05-02 00:36:39.392913: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65c240000 of size 2097152 next 196
2025-05-02 00:36:39.392926: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65c440000 of size 1048576 next 216
2025-05-02 00:36:39.392933: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7ff65c540000 of size 1310720 next 209
2025-05-02 00:36:39.392940: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65c680000 of size 2359296 next 208
2025-05-02 00:36:39.392946: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65c8c0000 of size 1048576 next 234
2025-05-02 00:36:39.392954: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65c9c0000 of size 1310720 next 228
2025-05-02 00:36:39.392960: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65cb00000 of size 2359296 next 227
2025-05-02 00:36:39.392967: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65cd40000 of size 2883584 next 18446744073709551615
2025-05-02 00:36:39.392974: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 9477632
2025-05-02 00:36:39.392981: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65d000000 of size 2359296 next 245
2025-05-02 00:36:39.392987: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65d240000 of size 1048576 next 269
2025-05-02 00:36:39.392994: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65d340000 of size 1310720 next 263
2025-05-02 00:36:39.393000: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65d480000 of size 2359296 next 262
2025-05-02 00:36:39.393008: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65d6c0000 of size 2399744 next 18446744073709551615
2025-05-02 00:36:39.393014: I tensorflow/core/common_runtime/bfc_allocator.cc:970] Next region of size 2097152
2025-05-02 00:36:39.393022: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65e600000 of size 147456 next 55
2025-05-02 00:36:39.393029: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65e624000 of size 65536 next 78
2025-05-02 00:36:39.393035: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65e634000 of size 4096 next 191
2025-05-02 00:36:39.393042: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65e635000 of size 4096 next 192
2025-05-02 00:36:39.393050: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65e636000 of size 4096 next 193
2025-05-02 00:36:39.393057: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff65e637000 of size 256 next 194
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2025-05-02 00:36:39.394273: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae12600 of size 2048 next 6
2025-05-02 00:36:39.394280: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae12e00 of size 37632 next 7
2025-05-02 00:36:39.394286: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae1c100 of size 512 next 118
2025-05-02 00:36:39.394294: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae1c300 of size 512 next 119
2025-05-02 00:36:39.394301: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae1c500 of size 512 next 120
2025-05-02 00:36:39.394307: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae1c700 of size 512 next 121
2025-05-02 00:36:39.394314: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae1c900 of size 512 next 122
2025-05-02 00:36:39.394320: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae1cb00 of size 512 next 125
2025-05-02 00:36:39.394327: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae1cd00 of size 512 next 126
2025-05-02 00:36:39.394333: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae1cf00 of size 512 next 127
2025-05-02 00:36:39.394343: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae1d100 of size 512 next 128
2025-05-02 00:36:39.394349: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae1d300 of size 512 next 129
2025-05-02 00:36:39.394359: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae1d500 of size 2048 next 130
2025-05-02 00:36:39.394366: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae1dd00 of size 2048 next 131
2025-05-02 00:36:39.394375: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae1e500 of size 2048 next 132
2025-05-02 00:36:39.394383: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae1ed00 of size 2048 next 133
2025-05-02 00:36:39.394392: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae1f500 of size 2048 next 134
2025-05-02 00:36:39.394400: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae1fd00 of size 512 next 136
2025-05-02 00:36:39.394406: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae1ff00 of size 512 next 137
2025-05-02 00:36:39.394412: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae20100 of size 512 next 138
2025-05-02 00:36:39.394419: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae20300 of size 512 next 139
2025-05-02 00:36:39.394430: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae20500 of size 512 next 140
2025-05-02 00:36:39.394437: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae20700 of size 512 next 141
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2025-05-02 00:36:39.394450: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae20b00 of size 512 next 144
2025-05-02 00:36:39.394457: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae20d00 of size 512 next 145
2025-05-02 00:36:39.394463: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae20f00 of size 512 next 146
2025-05-02 00:36:39.394470: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae21100 of size 2048 next 147
2025-05-02 00:36:39.394477: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae21900 of size 2048 next 148
2025-05-02 00:36:39.394485: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae22100 of size 2048 next 149
2025-05-02 00:36:39.394493: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae22900 of size 2048 next 150
2025-05-02 00:36:39.394503: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae23100 of size 2048 next 151
2025-05-02 00:36:39.394511: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae23900 of size 512 next 153
2025-05-02 00:36:39.394521: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae23b00 of size 512 next 154
2025-05-02 00:36:39.394529: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae23d00 of size 512 next 155
2025-05-02 00:36:39.394537: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae23f00 of size 512 next 156
2025-05-02 00:36:39.394545: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae24100 of size 512 next 157
2025-05-02 00:36:39.394553: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae24300 of size 512 next 161
2025-05-02 00:36:39.394561: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae24500 of size 512 next 162
2025-05-02 00:36:39.394569: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae24700 of size 512 next 163
2025-05-02 00:36:39.394575: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae24900 of size 512 next 164
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2025-05-02 00:36:39.394592: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae24d00 of size 2048 next 166
2025-05-02 00:36:39.394600: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae25500 of size 2048 next 167
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2025-05-02 00:36:39.394627: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae26d00 of size 2048 next 170
2025-05-02 00:36:39.394635: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae27500 of size 1024 next 172
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2025-05-02 00:36:39.394675: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae28900 of size 256 next 178
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2025-05-02 00:36:39.394699: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae28b00 of size 1024 next 177
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2025-05-02 00:36:39.394717: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae29300 of size 1024 next 183
2025-05-02 00:36:39.394726: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae29700 of size 1024 next 184
2025-05-02 00:36:39.394734: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae29b00 of size 1024 next 185
2025-05-02 00:36:39.394744: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae29f00 of size 256 next 187
2025-05-02 00:36:39.394752: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae2a000 of size 256 next 188
2025-05-02 00:36:39.394760: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae2a100 of size 4096 next 186
2025-05-02 00:36:39.394770: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae2b100 of size 4096 next 42
2025-05-02 00:36:39.394778: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae2c100 of size 65536 next 36
2025-05-02 00:36:39.394787: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae3c100 of size 65536 next 35
2025-05-02 00:36:39.394795: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae4c100 of size 4096 next 235
2025-05-02 00:36:39.394803: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae4d100 of size 4096 next 236
2025-05-02 00:36:39.394810: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae4e100 of size 4096 next 237
2025-05-02 00:36:39.394818: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae4f100 of size 4096 next 238
2025-05-02 00:36:39.394824: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae50100 of size 1024 next 239
2025-05-02 00:36:39.394831: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae50500 of size 1024 next 240
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2025-05-02 00:36:39.395082: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae5f100 of size 1024 next 275
2025-05-02 00:36:39.395088: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae5f500 of size 1024 next 276
2025-05-02 00:36:39.395095: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae5f900 of size 1024 next 277
2025-05-02 00:36:39.395103: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae5fd00 of size 1024 next 278
2025-05-02 00:36:39.395109: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae60100 of size 1024 next 279
2025-05-02 00:36:39.395116: I tensorflow/core/common_runtime/bfc_allocator.cc:990] Free  at 7ff79ae60500 of size 15360 next 27
2025-05-02 00:36:39.395124: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae64100 of size 147456 next 26
2025-05-02 00:36:39.395130: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae88100 of size 65536 next 47
2025-05-02 00:36:39.395137: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79ae98100 of size 65536 next 59
2025-05-02 00:36:39.395145: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79aea8100 of size 65536 next 65
2025-05-02 00:36:39.395152: I tensorflow/core/common_runtime/bfc_allocator.cc:990] InUse at 7ff79aeb8100 of size 294656 next 18446744073709551615
2025-05-02 00:36:39.395159: I tensorflow/core/common_runtime/bfc_allocator.cc:995]      Summary of in-use Chunks by size: 
2025-05-02 00:36:39.395170: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 59 Chunks of size 256 totalling 14.8KiB
2025-05-02 00:36:39.395178: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 40 Chunks of size 512 totalling 20.0KiB
2025-05-02 00:36:39.395187: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 75 Chunks of size 1024 totalling 75.0KiB
2025-05-02 00:36:39.395194: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1280 totalling 1.2KiB
2025-05-02 00:36:39.395203: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 25 Chunks of size 2048 totalling 50.0KiB
2025-05-02 00:36:39.395211: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 29 Chunks of size 4096 totalling 116.0KiB
2025-05-02 00:36:39.395218: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 7680 totalling 7.5KiB
2025-05-02 00:36:39.395232: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 16384 totalling 16.0KiB
2025-05-02 00:36:39.395240: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 37632 totalling 36.8KiB
2025-05-02 00:36:39.395249: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 6 Chunks of size 65536 totalling 384.0KiB
2025-05-02 00:36:39.395256: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 131072 totalling 128.0KiB
2025-05-02 00:36:39.395265: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 147456 totalling 432.0KiB
2025-05-02 00:36:39.395273: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 4 Chunks of size 262144 totalling 1.00MiB
2025-05-02 00:36:39.395280: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 294656 totalling 287.8KiB
2025-05-02 00:36:39.395287: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 327680 totalling 640.0KiB
2025-05-02 00:36:39.395296: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 524288 totalling 1.00MiB
2025-05-02 00:36:39.395306: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 3 Chunks of size 589824 totalling 1.69MiB
2025-05-02 00:36:39.395315: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 786432 totalling 768.0KiB
2025-05-02 00:36:39.395322: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 7 Chunks of size 1048576 totalling 7.00MiB
2025-05-02 00:36:39.395330: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 2 Chunks of size 1310720 totalling 2.50MiB
2025-05-02 00:36:39.395337: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 1441792 totalling 1.38MiB
2025-05-02 00:36:39.395345: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2097152 totalling 2.00MiB
2025-05-02 00:36:39.395356: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 5 Chunks of size 2359296 totalling 11.25MiB
2025-05-02 00:36:39.395365: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2399744 totalling 2.29MiB
2025-05-02 00:36:39.395375: I tensorflow/core/common_runtime/bfc_allocator.cc:998] 1 Chunks of size 2883584 totalling 2.75MiB
2025-05-02 00:36:39.395384: I tensorflow/core/common_runtime/bfc_allocator.cc:1002] Sum Total of in-use chunks: 35.76MiB
2025-05-02 00:36:39.395392: I tensorflow/core/common_runtime/bfc_allocator.cc:1004] total_region_allocated_bytes_: 41983488 memory_limit_: 206438400 available bytes: 164454912 curr_region_allocation_bytes_: 67108864
2025-05-02 00:36:39.395403: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] Stats: 
Limit:                   206438400
InUse:                    37495296
MaxInUse:                 37495552
NumAllocs:                     889
MaxAllocSize:              4325376

2025-05-02 00:36:39.395419: W tensorflow/core/common_runtime/bfc_allocator.cc:439] **************__**************************************************_***************__****************
2025-05-02 00:36:39.395472: W tensorflow/core/framework/op_kernel.cc:1753] OP_REQUIRES failed at cwise_ops_common.h:134 : Resource exhausted: OOM when allocating tensor with shape[3,3,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD              0.7
RPN_TRAIN_ANCHORS_PER_IMAGE    256
STEPS_PER_EPOCH                1000
TRAIN_ROIS_PER_IMAGE           200
USE_MINI_MASK                  True
USE_RPN_ROIS                   True
VALIDATION_STEPS               50
WEIGHT_DECAY                   0.0001


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

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


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


Error : invalid literal for int() with base 10: "'int' object is not subscriptable"
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_6b796098f0a7c88b7d6a90fb4c0df56eec821fbf
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_6b796098f0a7c88b7d6a90fb4c0df56eec821fbf','{"mask_detection": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/May/02052025/python_test3//data_2/data_log/job/2025/May/02052025/python_test3/log-python3----short_python3--v--marlene-00:35:01.txt','mask_detection','unknown');

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





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


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

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

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

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

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (1189321094) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 1189321094
download finish for photo 1189321094
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.18141579627990723
#### 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
Fri May  2 00:36:40 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1746138999_3855703_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png': 1189321094}
map_photo_id_path_extension : {1189321094: {'path': 'temp/1746138999_3855703_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 : 0.013453960418701172
 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 : 3.430283308029175
time spend to save output : 0.014782905578613281
total time spend for step 0 : 3.445066213607788
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 : 0.14306092262268066
#### 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
Fri May  2 00:36:43 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/1746139003_3855703_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg': 917754606}
map_photo_id_path_extension : {917754606: {'path': 'temp/1746139003_3855703_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
E0502 00:36:45.276273 3855703 common.cpp:114] Cannot create Cublas handle. Cublas won't be available.
F0502 00:36:45.316696 3855703 syncedmem.hpp:22] Check failed: error == cudaSuccess (2 vs. 0)  out of memory
*** Check failure stack trace: ***
Command terminated by signal 6
6.32user 6.49system 1:19.90elapsed 16%CPU (0avgtext+0avgdata 1189848maxresident)k
1921352inputs+3408outputs (5910major+583313minor)pagefaults 0swaps