Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name alexdaoud-trainer-bagir-4874-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-4874-v1-mkmlizer to finish
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ║ _____ __ __ ║
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ║ /___/ ║
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ║ Version: 0.11.12 ║
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ║ https://mk1.ai ║
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ║ The license key for the current software has been verified as ║
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ║ belonging to: ║
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ║ Chai Research Corp. ║
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-4874-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
alexdaoud-trainer-bagir-4874-v1-mkmlizer: Downloaded to shared memory in 32.782s
alexdaoud-trainer-bagir-4874-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmps8pangtc, device:0
alexdaoud-trainer-bagir-4874-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-4874-v1-mkmlizer: quantized model in 85.778s
alexdaoud-trainer-bagir-4874-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-23 in 118.560s
alexdaoud-trainer-bagir-4874-v1-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-4874-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-4874-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-4874-v1
alexdaoud-trainer-bagir-4874-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-4874-v1/config.json
alexdaoud-trainer-bagir-4874-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-4874-v1/special_tokens_map.json
alexdaoud-trainer-bagir-4874-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-4874-v1/tokenizer_config.json
alexdaoud-trainer-bagir-4874-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-4874-v1/tokenizer.json
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Job alexdaoud-trainer-bagir-4874-v1-mkmlizer completed after 146.65s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-4874-v1-mkmlizer
Pipeline stage MKMLizer completed in 147.15s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service alexdaoud-trainer-bagir-4874-v1
Waiting for inference service alexdaoud-trainer-bagir-4874-v1 to be ready
Inference service alexdaoud-trainer-bagir-4874-v1 ready after 201.11881923675537s
Pipeline stage MKMLDeployer completed in 201.67s
run pipeline stage %s
Running pipeline stage StressChecker
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Received healthy response to inference request in 7.435270071029663s
Received healthy response to inference request in 3.604905366897583s
Received healthy response to inference request in 3.7373201847076416s
Received healthy response to inference request in 2.6295173168182373s
Received healthy response to inference request in 2.7912726402282715s
5 requests
0 failed requests
5th percentile: 2.661868381500244
10th percentile: 2.694219446182251
20th percentile: 2.758921575546265
30th percentile: 2.9539991855621337
40th percentile: 3.2794522762298586
50th percentile: 3.604905366897583
60th percentile: 3.6578712940216063
70th percentile: 3.71083722114563
80th percentile: 4.476910161972047
90th percentile: 5.956090116500855
95th percentile: 6.695680093765258
99th percentile: 7.287352075576782
mean time: 4.039657115936279
%s, retrying in %s seconds...
Received healthy response to inference request in 4.323269367218018s
Received healthy response to inference request in 2.706322193145752s
Received healthy response to inference request in 3.266230821609497s
Received healthy response to inference request in 3.7909326553344727s
Received healthy response to inference request in 3.6947855949401855s
5 requests
0 failed requests
5th percentile: 2.818303918838501
10th percentile: 2.93028564453125
20th percentile: 3.154249095916748
30th percentile: 3.351941776275635
40th percentile: 3.5233636856079102
50th percentile: 3.6947855949401855
60th percentile: 3.7332444190979004
70th percentile: 3.7717032432556152
80th percentile: 3.8973999977111817
90th percentile: 4.110334682464599
95th percentile: 4.216802024841309
99th percentile: 4.3019758987426755
mean time: 3.556308126449585
%s, retrying in %s seconds...
Received healthy response to inference request in 3.095254898071289s
Received healthy response to inference request in 3.5468811988830566s
Received healthy response to inference request in 3.287900686264038s
Received healthy response to inference request in 3.6548612117767334s
Received healthy response to inference request in 3.0365331172943115s
5 requests
0 failed requests
5th percentile: 3.048277473449707
10th percentile: 3.0600218296051027
20th percentile: 3.0835105419158935
30th percentile: 3.133784055709839
40th percentile: 3.2108423709869385
50th percentile: 3.287900686264038
60th percentile: 3.3914928913116453
70th percentile: 3.495085096359253
80th percentile: 3.568477201461792
90th percentile: 3.6116692066192626
95th percentile: 3.6332652091979982
99th percentile: 3.6505420112609865
mean time: 3.3242862224578857
Pipeline stage StressChecker completed in 59.29s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 2.41s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 2.40s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_4874_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-4874-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-4874-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-4874-v1-profiler ready after 200.50148558616638s
Pipeline stage MKMLProfilerDeployer completed in 200.91s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba2f145ba3fa7c033237a36a36e148908d-deplo86dwf:/code/chaiverse_profiler_1734046857 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba2f145ba3fa7c033237a36a36e148908d-deplo86dwf --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734046857 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1734046857/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba2f145ba3fa7c033237a36a36e148908d-deplo86dwf:/code/chaiverse_profiler_1734049634 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba2f145ba3fa7c033237a36a36e148908d-deplo86dwf:/code/chaiverse_profiler_1734049635 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba2f145ba3fa7c033237a36a36e148908d-deplo86dwf --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734049635 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1734049635/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-4874-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-4874-v1-profiler
Service alexdaoud-trainer-bagir-4874-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.30s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-4874-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.27s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-4874-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-4874-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-4874-v1-profiler ready after 90.22149586677551s
Pipeline stage MKMLProfilerDeployer completed in 90.54s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba2f145ba3fa7c033237a36a36e148908d-deplo62xk8:/code/chaiverse_profiler_1734050373 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba2f145ba3fa7c033237a36a36e148908d-deplo62xk8 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734050373 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1734050373/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba2f145ba3fa7c033237a36a36e148908d-deplo62xk8:/code/chaiverse_profiler_1734053166 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba2f145ba3fa7c033237a36a36e148908d-deplo62xk8:/code/chaiverse_profiler_1734053167 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba2f145ba3fa7c033237a36a36e148908d-deplo62xk8 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734053167 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1734053167/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-4874-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-4874-v1-profiler
Service alexdaoud-trainer-bagir-4874-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.37s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-4874-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.35s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-4874-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-4874-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-4874-v1-profiler ready after 40.11325240135193s
Pipeline stage MKMLProfilerDeployer completed in 40.45s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba2f145ba3fa7c033237a36a36e148908d-deplo6k2vl:/code/chaiverse_profiler_1734053948 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba2f145ba3fa7c033237a36a36e148908d-deplo6k2vl --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734053948 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1734053948/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba2f145ba3fa7c033237a36a36e148908d-deplo6k2vl:/code/chaiverse_profiler_1734056724 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba2f145ba3fa7c033237a36a36e148908d-deplo6k2vl --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734056724 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1734056724/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-4874-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-4874-v1-profiler
Service alexdaoud-trainer-bagir-4874-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.28s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_4874_v1 status is now inactive due to auto deactivation removed underperforming models