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-4168-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-4168-v1-mkmlizer to finish
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ║ _____ __ __ ║
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ║ /___/ ║
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ║ Version: 0.11.12 ║
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ║ https://mk1.ai ║
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ║ The license key for the current software has been verified as ║
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ║ belonging to: ║
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ║ Chai Research Corp. ║
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-4168-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-4168-v1-mkmlizer: Downloaded to shared memory in 32.156s
alexdaoud-trainer-bagir-4168-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpxe6sve8p, device:0
alexdaoud-trainer-bagir-4168-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
alexdaoud-trainer-bagir-4168-v1-mkmlizer: quantized model in 86.090s
alexdaoud-trainer-bagir-4168-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-97 in 118.246s
alexdaoud-trainer-bagir-4168-v1-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-4168-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-4168-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-4168-v1
alexdaoud-trainer-bagir-4168-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-4168-v1/config.json
alexdaoud-trainer-bagir-4168-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-4168-v1/special_tokens_map.json
alexdaoud-trainer-bagir-4168-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-4168-v1/tokenizer_config.json
alexdaoud-trainer-bagir-4168-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-4168-v1/tokenizer.json
alexdaoud-trainer-bagir-4168-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-4168-v1/flywheel_model.0.safetensors
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Job alexdaoud-trainer-bagir-4168-v1-mkmlizer completed after 145.55s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-4168-v1-mkmlizer
Pipeline stage MKMLizer completed in 146.03s
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Running pipeline stage MKMLDeployer
Creating inference service alexdaoud-trainer-bagir-4168-v1
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Inference service alexdaoud-trainer-bagir-4168-v1 ready after 230.8206238746643s
Pipeline stage MKMLDeployer completed in 231.33s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.2222213745117188s
Received healthy response to inference request in 2.609816074371338s
Received healthy response to inference request in 3.3610057830810547s
Received healthy response to inference request in 1.691300868988037s
Received healthy response to inference request in 3.443164110183716s
5 requests
0 failed requests
5th percentile: 1.8750039100646974
10th percentile: 2.0587069511413576
20th percentile: 2.4261130332946776
30th percentile: 2.7322971343994142
40th percentile: 2.9772592544555665
50th percentile: 3.2222213745117188
60th percentile: 3.277735137939453
70th percentile: 3.3332489013671873
80th percentile: 3.377437448501587
90th percentile: 3.410300779342651
95th percentile: 3.4267324447631835
99th percentile: 3.439877777099609
mean time: 2.865501642227173
Pipeline stage StressChecker completed in 15.64s
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 2.40s
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 2.32s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_4168_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.13s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-4168-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-4168-v1-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-4168-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.57s
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-4168-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-4168-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-4168-v1-profiler ready after 180.40431761741638s
Pipeline stage MKMLProfilerDeployer completed in 180.72s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba68724d249d6d077eb6902adece93f022-deploprm22:/code/chaiverse_profiler_1734562774 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba68724d249d6d077eb6902adece93f022-deploprm22 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734562774 && 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_1734562774/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba68724d249d6d077eb6902adece93f022-deploprm22:/code/chaiverse_profiler_1734565543 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba68724d249d6d077eb6902adece93f022-deploprm22:/code/chaiverse_profiler_1734565544 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba68724d249d6d077eb6902adece93f022-deploprm22 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734565544 && 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_1734565544/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-4168-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-4168-v1-profiler
Service alexdaoud-trainer-bagir-4168-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.91s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-4168-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.85s
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-4168-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-4168-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-4168-v1-profiler ready after 140.32113409042358s
Pipeline stage MKMLProfilerDeployer completed in 140.66s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba68724d249d6d077eb6902adece93f022-deplo2ftgg:/code/chaiverse_profiler_1734566362 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba68724d249d6d077eb6902adece93f022-deplo2ftgg --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734566362 && 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_1734566362/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba68724d249d6d077eb6902adece93f022-deplo2ftgg:/code/chaiverse_profiler_1734569137 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba68724d249d6d077eb6902adece93f022-deplo2ftgg:/code/chaiverse_profiler_1734569138 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba68724d249d6d077eb6902adece93f022-deplo2ftgg --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734569138 && 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_1734569138/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-4168-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-4168-v1-profiler
Service alexdaoud-trainer-bagir-4168-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.87s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_4168_v1 status is now inactive due to auto deactivation removed underperforming models