python /home/admin/mtr/script_for_cron.py -j default -m 20 -a 'python3 ~/workarea/git/Velours/python/prod/datou.py -j batch_current -C 3886960' -s rattrapage -M 0 -S 0 -U 100,80,95
 import MySQLdb succeeded 
Import error (python version)
['/Users/moilerat/Documents/Fotonower/install/caffe/distribute/python', '/home/admin/workarea/git/Velours/python/prod', '/home/admin/workarea/install/darknet', '/home/admin/workarea/git/Velours/python', '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python', '/home/admin/mtr/.credentials', '/home/admin/workarea/install/caffe/python', '/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools', '/home/admin/workarea/git/fotonowerpip', '/home/admin/workarea/install/segment-anything', '/home/admin/workarea/git/pyfvs', '/home/admin/workarea/git/apy', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/home/admin/.local/lib/python3.8/site-packages', '/usr/local/lib/python3.8/dist-packages', '/usr/lib/python3/dist-packages']
process id : 236600
load datou : 0
# 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 !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : step 0 init_dummy_multi_datou is not linked in the step_by_step architecture !
WARNING : step 1294 init_dummy_multi_datou is not linked in the step_by_step architecture !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
DataTypes for each output/input checked !
Unexpected type for variable list_input_json
ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0)
 Tried to parse : 
(photo_id, hashtag_id, score_max) was removed should we ?
(x0, y0, x1, y1) was removed should we ?
chemin de la photo was removed should we ?
(photo_id, hashtag_id, score_max) was removed should we ?
(x0, y0, x1, y1) was removed should we ?
chemin de la photo was removed should we ?
load thcls
load pdts
Running datou job : batch_current
 TODO datou_current to load to do maybe to take outside batchDatouExec 
updating current state to 1
list_input_json: []
Current got : datou_id : 3993, datou_cur_ids : ['3886960'] with mtr_portfolio_ids : ['27606141'] and first list_photo_ids : []
new path :  /proc/236600/
Inside batchDatouExec : verbose : 0
# 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)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
List Step Type Loaded in datou : mask_detect, brightness, blur_detection, crop_condition, thcl, merge_mask_thcl_custom, rle_unique_nms_with_priority, crop_condition, ventilate_hashtags_in_portfolio, final, velours_tree, send_mail_cod, split_time_score
over limit max, limiting to limit_max 20
list_input_json : []
origin
We have 1 , 
WARNING: data may be incomplete, need to offset and complete !
BFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
length of list_filenames : 20 ; length of list_pids : 20 ; length of list_args : 20
time to download the photos : 3.585430383682251
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 : 0
number of steps :  13
step1:mask_detect
Fri Oct 10 12:07:01 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Beginning of datou step mask_detect !
save_polygon : True

 begin detect 

begin to check gpu status 
inside check gpu memory
havn't enough memory gpu , need / 3000
l 3632 free memory gpu now : 61
wait 20 seconds
l 3637 free memory gpu now : 61  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
2025-10-10 12:07:24.754102: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-10-10 12:07:24.778659: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493010000 Hz
2025-10-10 12:07:24.780823: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f3768000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-10-10 12:07:24.780857: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-10-10 12:07:24.785713: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-10-10 12:07:25.195597: W tensorflow/compiler/xla/service/platform_util.cc:210] unable to create StreamExecutor for CUDA:0: failed initializing StreamExecutor for CUDA device ordinal 0: Internal: failed call to cuDevicePrimaryCtxRetain: CUDA_ERROR_OUT_OF_MEMORY: out of memory; total memory reported: 11553341440
2025-10-10 12:07:25.195766: I tensorflow/compiler/jit/xla_gpu_device.cc:161] Ignoring visible XLA_GPU_JIT device. Device number is 0, reason: Internal: no supported devices found for platform CUDA
2025-10-10 12:07:25.196529: 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
2025-10-10 12:07:25.197227: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-10-10 12:07:25.201001: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-10-10 12:07:25.204353: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-10-10 12:07:25.204751: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-10-10 12:07:25.208861: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-10-10 12:07:25.210994: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-10-10 12:07:25.218193: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-10-10 12:07:25.219310: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-10-10 12:07:25.219425: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
Inside mask_sub_process
Inside mask_detect 
 Exception in mask_detect :  CUDA runtime implicit initialization on GPU:0 failed. Status: out of memory
we want to redo the detection
max_time_sub_proc : 3600
erreur pendant la detection
in case -12
caffe_path_current : 
About to save ! 2
After save, about to update current !
2.81user 2.81system 0:30.60elapsed 18%CPU (0avgtext+0avgdata 492680maxresident)k
44976inputs+4928outputs (316major+123193minor)pagefaults 0swaps