python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 3318 ' -s datou_3318 -M 0 -S 0 -U 95,95,120
 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/caffe_cuda8_python3/python', '/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', '/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 : 2195441
load datou : 3318
# 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 !
 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 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 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 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
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 : 
chemin de la photo was removed should we ?
(photo_id, hashtag_id, score_max) was removed should we ?
[(photo_id, hashtag_id, hashtag_type, x0, x1, y0, y1, score, seg_temp, polygons), ...] was removed should we ?
chemin de la photo was removed should we ?
[ (photo_id_loc, hashtag_id, hashtag_type, x0, x1, y0, y1, score, None), ...] was removed should we ?
chemin de la photo was removed should we ?
id de la photo (peut être local ou global) was removed should we ?
chemin de la photo was removed should we ?
(x0, y0, x1, y1) was removed should we ?
chemin de la photo was removed should we ?
donnée sous forme de texte was removed should we ?
[ (photo_id, photo_id_loc, hashtag_type, x0, x1, y0, y1, score), ...] was removed should we ?
None was removed should we ?
donnée sous forme de texte was removed should we ?
(photo_id, hashtag_id, score_max) was removed should we ?
id de la photo (peut être local ou global) was removed should we ?
donnée sous forme de texte was removed should we ?
donnée sous forme de texte was removed should we ?
donnée sous forme de texte was removed should we ?
chemin de la photo was removed should we ?
(photo_id, hashtag_id, score_max) was removed should we ?
chemin de la photo was removed should we ?
(photo_id, hashtag_id, score_max) was removed should we ?
None was removed should we ?
donnée sous forme de nombre was removed should we ?
(photo_id, hashtag_id, score_max) was removed should we ?
(photo_id, hashtag_id, score_max) was removed should we ?
(photo_id, hashtag_id, score_max) was removed should we ?
(photo_id, hashtag_id, score_max) was removed should we ?
(photo_id, hashtag_id, score_max) was removed should we ?
donnée sous forme de texte was removed should we ?
None was removed should we ?
donnée sous forme de texte was removed should we ?
[ptf_id0,ptf_id1...] was removed should we ?
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5275, 'learn_RUBBIA_REFUS_AMIENS_23', 16384, 25088, 'learn_RUBBIA_REFUS_AMIENS_23', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2021, 4, 23, 14, 19, 39), datetime.datetime(2021, 4, 23, 14, 19, 39))
load thcls
load THCL from format json or kwargs
add thcl : 2847 in CacheModelConfig
load pdts
add pdt : 5275 in CacheModelConfig
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 : 3318, datou_cur_ids : ['2621503'] with mtr_portfolio_ids : ['20901286'] and first list_photo_ids : []
new path :  /proc/2195441/
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 !
 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 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 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 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
List Step Type Loaded in datou : mask_detect, crop_condition, rle_unique_nms_with_priority, ventilate_hashtags_in_portfolio, final, blur_detection, brightness, velours_tree, send_mail_cod, split_time_score
over limit max, limiting to limit_max 40
list_input_json : []
origin
We have 1 , 
BFBFBFBFBFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
length of list_filenames : 11 ; length of list_pids : 11 ; length of list_args : 11
time to download the photos : 2.6984403133392334
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 :  10
step1:mask_detect
Fri Feb 28 01:00:32 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 : 215
wait 20 seconds
l 3637 free memory gpu now : 215  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
2025-02-28 01:00:54.756953: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-02-28 01:00:54.783129: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz
2025-02-28 01:00:54.784966: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f7864000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-02-28 01:00:54.785019: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-02-28 01:00:54.787605: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-02-28 01:00:55.040152: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x268293f0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-02-28 01:00:55.040213: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-02-28 01:00:55.040947: 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
2025-02-28 01:00:55.041299: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-28 01:00:55.043408: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-28 01:00:55.045463: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-28 01:00:55.045775: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-28 01:00:55.048031: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-28 01:00:55.049043: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-28 01:00:55.053945: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-28 01:00:55.054784: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-28 01:00:55.054859: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-28 01:00:55.055331: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-28 01:00:55.055349: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-28 01:00:55.055373: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-28 01:00:55.056103: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 61 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.

2025-02-28 01:00:55.306477: 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
2025-02-28 01:00:55.306599: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-28 01:00:55.306617: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-28 01:00:55.306633: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-28 01:00:55.306649: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-28 01:00:55.306665: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-28 01:00:55.306680: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-28 01:00:55.306696: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-28 01:00:55.307316: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-28 01:00:55.308172: 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
2025-02-28 01:00:55.308202: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-28 01:00:55.308217: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-28 01:00:55.308231: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-28 01:00:55.308245: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-28 01:00:55.308259: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-28 01:00:55.308274: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-28 01:00:55.308288: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-28 01:00:55.308861: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-28 01:00:55.308894: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-28 01:00:55.308902: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-28 01:00:55.308909: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-28 01:00:55.309520: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 61 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
2025-02-28 01:00:55.431413: F ./tensorflow/core/kernels/random_op_gpu.h:232] Non-OK-status: GpuLaunchKernel(FillPhiloxRandomKernelLaunch<Distribution>, num_blocks, block_size, 0, d.stream(), gen, data, size, dist) status: Internal: out of memory
max_time_sub_proc : 3600

Catched exception !
Connect or reconnect !
in case -12
caffe_path_current : 
About to save ! 2
After save, about to update current !
3.60user 2.80system 1:00:28elapsed 0%CPU (0avgtext+0avgdata 686124maxresident)k
126016inputs+25432outputs (10016major+165123minor)pagefaults 0swaps