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-1359-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-1359-v1-mkmlizer to finish
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ║ _____ __ __ ║
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ║ /___/ ║
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ║ Version: 0.11.12 ║
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ║ https://mk1.ai ║
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ║ The license key for the current software has been verified as ║
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ║ belonging to: ║
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ║ Chai Research Corp. ║
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-1359-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-1359-v1-mkmlizer: Downloaded to shared memory in 30.818s
alexdaoud-trainer-bagir-1359-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp1xkooz0v, device:0
alexdaoud-trainer-bagir-1359-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-1359-v1-mkmlizer: quantized model in 86.307s
alexdaoud-trainer-bagir-1359-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-33 in 117.125s
alexdaoud-trainer-bagir-1359-v1-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-1359-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-1359-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1359-v1
alexdaoud-trainer-bagir-1359-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1359-v1/special_tokens_map.json
alexdaoud-trainer-bagir-1359-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1359-v1/config.json
alexdaoud-trainer-bagir-1359-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1359-v1/tokenizer_config.json
alexdaoud-trainer-bagir-1359-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1359-v1/tokenizer.json
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Job alexdaoud-trainer-bagir-1359-v1-mkmlizer completed after 145.66s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-1359-v1-mkmlizer
Pipeline stage MKMLizer completed in 146.22s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service alexdaoud-trainer-bagir-1359-v1
Waiting for inference service alexdaoud-trainer-bagir-1359-v1 to be ready
Inference service alexdaoud-trainer-bagir-1359-v1 ready after 210.71596693992615s
Pipeline stage MKMLDeployer completed in 211.27s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 5.891023874282837s
Received healthy response to inference request in 5.078731060028076s
Received healthy response to inference request in 3.8104755878448486s
Received healthy response to inference request in 5.287724733352661s
Received healthy response to inference request in 2.694916009902954s
5 requests
0 failed requests
5th percentile: 2.918027925491333
10th percentile: 3.141139841079712
20th percentile: 3.58736367225647
30th percentile: 4.064126682281494
40th percentile: 4.571428871154785
50th percentile: 5.078731060028076
60th percentile: 5.16232852935791
70th percentile: 5.245925998687744
80th percentile: 5.408384561538696
90th percentile: 5.649704217910767
95th percentile: 5.770364046096802
99th percentile: 5.86689190864563
mean time: 4.552574253082275
%s, retrying in %s seconds...
Received healthy response to inference request in 4.446486711502075s
Received healthy response to inference request in 3.773678779602051s
Received healthy response to inference request in 4.029639720916748s
Received healthy response to inference request in 4.901823997497559s
Received healthy response to inference request in 4.009140729904175s
5 requests
0 failed requests
5th percentile: 3.8207711696624758
10th percentile: 3.8678635597229003
20th percentile: 3.96204833984375
30th percentile: 4.01324052810669
40th percentile: 4.021440124511718
50th percentile: 4.029639720916748
60th percentile: 4.196378517150879
70th percentile: 4.363117313385009
80th percentile: 4.537554168701172
90th percentile: 4.719689083099365
95th percentile: 4.810756540298462
99th percentile: 4.883610506057739
mean time: 4.232153987884521
%s, retrying in %s seconds...
Received healthy response to inference request in 3.166795492172241s
Received healthy response to inference request in 2.7795398235321045s
Received healthy response to inference request in 2.3349311351776123s
Received healthy response to inference request in 2.246568202972412s
Received healthy response to inference request in 2.4131312370300293s
5 requests
0 failed requests
5th percentile: 2.264240789413452
10th percentile: 2.2819133758544923
20th percentile: 2.3172585487365724
30th percentile: 2.3505711555480957
40th percentile: 2.3818511962890625
50th percentile: 2.4131312370300293
60th percentile: 2.5596946716308593
70th percentile: 2.7062581062316893
80th percentile: 2.8569909572601317
90th percentile: 3.0118932247161867
95th percentile: 3.089344358444214
99th percentile: 3.1513052654266356
mean time: 2.58819317817688
Pipeline stage StressChecker completed in 61.34s
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 2.53s
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 2.37s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_1359_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-1359-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-1359-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-1359-v1-profiler ready after 200.47825455665588s
Pipeline stage MKMLProfilerDeployer completed in 200.86s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baacdd4abfa823da1f75fe9c6a0a8659e1-deplodnggt:/code/chaiverse_profiler_1734270708 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baacdd4abfa823da1f75fe9c6a0a8659e1-deplodnggt --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734270708 && 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_1734270708/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baacdd4abfa823da1f75fe9c6a0a8659e1-deplodnggt:/code/chaiverse_profiler_1734273501 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baacdd4abfa823da1f75fe9c6a0a8659e1-deplodnggt:/code/chaiverse_profiler_1734273501 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baacdd4abfa823da1f75fe9c6a0a8659e1-deplodnggt --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734273501 && 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_1734273501/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1359-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-1359-v1-profiler
Service alexdaoud-trainer-bagir-1359-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.28s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1359-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.18s
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-1359-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-1359-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-1359-v1-profiler ready after 210.50320625305176s
Pipeline stage MKMLProfilerDeployer completed in 210.83s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baacdd4abfa823da1f75fe9c6a0a8659e1-deplopfr57:/code/chaiverse_profiler_1734274354 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baacdd4abfa823da1f75fe9c6a0a8659e1-deplopfr57 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734274354 && 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_1734274354/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baacdd4abfa823da1f75fe9c6a0a8659e1-deplopfr57:/code/chaiverse_profiler_1734277124 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baacdd4abfa823da1f75fe9c6a0a8659e1-deplopfr57:/code/chaiverse_profiler_1734277125 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baacdd4abfa823da1f75fe9c6a0a8659e1-deplopfr57 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734277125 && 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_1734277125/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1359-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-1359-v1-profiler
Service alexdaoud-trainer-bagir-1359-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.47s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1359-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.30s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-1359-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-1359-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-1359-v1-profiler ready after 30.095351219177246s
Pipeline stage MKMLProfilerDeployer completed in 30.42s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baacdd4abfa823da1f75fe9c6a0a8659e1-deplogrz66:/code/chaiverse_profiler_1734277806 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baacdd4abfa823da1f75fe9c6a0a8659e1-deplogrz66 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734277806 && 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_1734277806/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baacdd4abfa823da1f75fe9c6a0a8659e1-deplogrz66:/code/chaiverse_profiler_1734280599 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baacdd4abfa823da1f75fe9c6a0a8659e1-deplogrz66:/code/chaiverse_profiler_1734280600 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baacdd4abfa823da1f75fe9c6a0a8659e1-deplogrz66 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734280600 && 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_1734280600/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1359-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-1359-v1-profiler
Service alexdaoud-trainer-bagir-1359-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.38s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_1359_v1 status is now inactive due to auto deactivation removed underperforming models