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-3704-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-3704-v1-mkmlizer to finish
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ║ _____ __ __ ║
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ║ /___/ ║
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ║ Version: 0.11.12 ║
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ║ https://mk1.ai ║
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ║ The license key for the current software has been verified as ║
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ║ belonging to: ║
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ║ Chai Research Corp. ║
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-3704-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-3704-v1-mkmlizer: Downloaded to shared memory in 31.812s
alexdaoud-trainer-bagir-3704-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp0kgw0uk3, device:0
alexdaoud-trainer-bagir-3704-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-3704-v1-mkmlizer: quantized model in 85.059s
alexdaoud-trainer-bagir-3704-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-70 in 116.872s
alexdaoud-trainer-bagir-3704-v1-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-3704-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-3704-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-3704-v1
alexdaoud-trainer-bagir-3704-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-3704-v1/config.json
alexdaoud-trainer-bagir-3704-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-3704-v1/special_tokens_map.json
alexdaoud-trainer-bagir-3704-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-3704-v1/tokenizer_config.json
alexdaoud-trainer-bagir-3704-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-3704-v1/flywheel_model.0.safetensors
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Job alexdaoud-trainer-bagir-3704-v1-mkmlizer completed after 136.86s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-3704-v1-mkmlizer
Pipeline stage MKMLizer completed in 137.37s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service alexdaoud-trainer-bagir-3704-v1
Waiting for inference service alexdaoud-trainer-bagir-3704-v1 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service alexdaoud-trainer-bagir-3704-v1 ready after 220.78447604179382s
Pipeline stage MKMLDeployer completed in 221.29s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.1736724376678467s
Received healthy response to inference request in 5.441532611846924s
Received healthy response to inference request in 4.400790214538574s
Received healthy response to inference request in 3.044473171234131s
Received healthy response to inference request in 4.226912498474121s
5 requests
0 failed requests
5th percentile: 3.070313024520874
10th percentile: 3.0961528778076173
20th percentile: 3.1478325843811037
30th percentile: 3.3843204498291017
40th percentile: 3.8056164741516114
50th percentile: 4.226912498474121
60th percentile: 4.296463584899902
70th percentile: 4.366014671325684
80th percentile: 4.608938694000244
90th percentile: 5.025235652923584
95th percentile: 5.233384132385254
99th percentile: 5.3999029159545895
mean time: 4.05747618675232
%s, retrying in %s seconds...
Received healthy response to inference request in 2.9112398624420166s
Received healthy response to inference request in 2.483362913131714s
Received healthy response to inference request in 2.6156728267669678s
Received healthy response to inference request in 5.5299012660980225s
Received healthy response to inference request in 2.9217708110809326s
5 requests
0 failed requests
5th percentile: 2.5098248958587646
10th percentile: 2.5362868785858153
20th percentile: 2.589210844039917
30th percentile: 2.6747862339019775
40th percentile: 2.7930130481719972
50th percentile: 2.9112398624420166
60th percentile: 2.915452241897583
70th percentile: 2.9196646213531494
80th percentile: 3.443396902084351
90th percentile: 4.486649084091187
95th percentile: 5.008275175094604
99th percentile: 5.425576047897339
mean time: 3.2923895359039306
Pipeline stage StressChecker completed in 39.47s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 2.24s
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 2.04s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_3704_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 0.14s
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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-3704-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-3704-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-3704-v1-profiler ready after 220.51362895965576s
Pipeline stage MKMLProfilerDeployer completed in 220.86s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba05f2480846ce1b70b59c99926ea6e9d8-deplow7x5v:/code/chaiverse_profiler_1734387296 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba05f2480846ce1b70b59c99926ea6e9d8-deplow7x5v --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734387296 && 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_1734387296/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba05f2480846ce1b70b59c99926ea6e9d8-deplow7x5v:/code/chaiverse_profiler_1734390064 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba05f2480846ce1b70b59c99926ea6e9d8-deplow7x5v:/code/chaiverse_profiler_1734390065 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba05f2480846ce1b70b59c99926ea6e9d8-deplow7x5v --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734390065 && 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_1734390065/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-3704-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-3704-v1-profiler
Service alexdaoud-trainer-bagir-3704-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.40s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-3704-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.43s
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-3704-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-3704-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-3704-v1-profiler ready after 40.115849018096924s
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-ba05f2480846ce1b70b59c99926ea6e9d8-deplortg8d:/code/chaiverse_profiler_1734390744 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba05f2480846ce1b70b59c99926ea6e9d8-deplortg8d --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734390744 && 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_1734390744/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba05f2480846ce1b70b59c99926ea6e9d8-deplortg8d:/code/chaiverse_profiler_1734393521 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba05f2480846ce1b70b59c99926ea6e9d8-deplortg8d:/code/chaiverse_profiler_1734393522 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba05f2480846ce1b70b59c99926ea6e9d8-deplortg8d --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734393522 && 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_1734393522/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-3704-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-3704-v1-profiler
Service alexdaoud-trainer-bagir-3704-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.69s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-3704-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.77s
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-3704-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-3704-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-3704-v1-profiler ready after 180.42438626289368s
Pipeline stage MKMLProfilerDeployer completed in 180.83s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba05f2480846ce1b70b59c99926ea6e9d8-deplovz7ml:/code/chaiverse_profiler_1734394513 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba05f2480846ce1b70b59c99926ea6e9d8-deplovz7ml --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734394513 && 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_1734394513/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba05f2480846ce1b70b59c99926ea6e9d8-deplovz7ml:/code/chaiverse_profiler_1734397306 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba05f2480846ce1b70b59c99926ea6e9d8-deplovz7ml --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734397306 && 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_1734397306/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-3704-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-3704-v1-profiler
Service alexdaoud-trainer-bagir-3704-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.55s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_3704_v1 status is now inactive due to auto deactivation removed underperforming models