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-9721-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-9721-v1-mkmlizer to finish
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ║ _____ __ __ ║
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ║ /___/ ║
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ║ Version: 0.11.12 ║
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ║ https://mk1.ai ║
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ║ The license key for the current software has been verified as ║
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ║ belonging to: ║
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ║ Chai Research Corp. ║
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-9721-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-9721-v1-mkmlizer: Downloaded to shared memory in 30.786s
alexdaoud-trainer-bagir-9721-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpbu7otydd, device:0
alexdaoud-trainer-bagir-9721-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-9721-v1-mkmlizer: quantized model in 86.480s
alexdaoud-trainer-bagir-9721-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-92 in 117.267s
alexdaoud-trainer-bagir-9721-v1-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-9721-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-9721-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9721-v1
alexdaoud-trainer-bagir-9721-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9721-v1/config.json
alexdaoud-trainer-bagir-9721-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9721-v1/special_tokens_map.json
alexdaoud-trainer-bagir-9721-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9721-v1/tokenizer_config.json
alexdaoud-trainer-bagir-9721-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9721-v1/tokenizer.json
alexdaoud-trainer-bagir-9721-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9721-v1/flywheel_model.0.safetensors
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Job alexdaoud-trainer-bagir-9721-v1-mkmlizer completed after 135.01s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-9721-v1-mkmlizer
Pipeline stage MKMLizer completed in 135.67s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service alexdaoud-trainer-bagir-9721-v1
Waiting for inference service alexdaoud-trainer-bagir-9721-v1 to be ready
Inference service alexdaoud-trainer-bagir-9721-v1 ready after 241.22489261627197s
Pipeline stage MKMLDeployer completed in 241.76s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.5220870971679688s
Received healthy response to inference request in 3.4153168201446533s
Received healthy response to inference request in 4.709230184555054s
Received healthy response to inference request in 3.7938804626464844s
Received healthy response to inference request in 3.2957088947296143s
5 requests
0 failed requests
5th percentile: 2.676811456680298
10th percentile: 2.831535816192627
20th percentile: 3.140984535217285
30th percentile: 3.319630479812622
40th percentile: 3.3674736499786375
50th percentile: 3.4153168201446533
60th percentile: 3.566742277145386
70th percentile: 3.718167734146118
80th percentile: 3.9769504070281982
90th percentile: 4.343090295791626
95th percentile: 4.52616024017334
99th percentile: 4.672616195678711
mean time: 3.547244691848755
%s, retrying in %s seconds...
Received healthy response to inference request in 5.175539016723633s
Received healthy response to inference request in 3.2619271278381348s
Received healthy response to inference request in 4.622211456298828s
Received healthy response to inference request in 4.715712785720825s
Received healthy response to inference request in 2.215137004852295s
5 requests
0 failed requests
5th percentile: 2.4244950294494627
10th percentile: 2.633853054046631
20th percentile: 3.052569103240967
30th percentile: 3.5339839935302733
40th percentile: 4.078097724914551
50th percentile: 4.622211456298828
60th percentile: 4.659611988067627
70th percentile: 4.697012519836425
80th percentile: 4.8076780319213865
90th percentile: 4.99160852432251
95th percentile: 5.0835737705230715
99th percentile: 5.157145967483521
mean time: 3.9981054782867433
%s, retrying in %s seconds...
Received healthy response to inference request in 1.9862678050994873s
Received healthy response to inference request in 4.272800922393799s
Received healthy response to inference request in 2.4019651412963867s
Received healthy response to inference request in 3.037933111190796s
Received healthy response to inference request in 2.6345021724700928s
5 requests
0 failed requests
5th percentile: 2.069407272338867
10th percentile: 2.152546739578247
20th percentile: 2.318825674057007
30th percentile: 2.4484725475311278
40th percentile: 2.5414873600006103
50th percentile: 2.6345021724700928
60th percentile: 2.795874547958374
70th percentile: 2.957246923446655
80th percentile: 3.2849066734313968
90th percentile: 3.778853797912598
95th percentile: 4.025827360153198
99th percentile: 4.223406209945678
mean time: 2.8666938304901124
Pipeline stage StressChecker completed in 55.66s
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 2.45s
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 2.39s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_9721_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
%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-9721-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.69s
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-9721-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-9721-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-9721-v1-profiler ready after 80.26305413246155s
Pipeline stage MKMLProfilerDeployer completed in 80.67s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-babb2b53619e067d16f7c7d762750bbadc-deploct5jq:/code/chaiverse_profiler_1734511364 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-babb2b53619e067d16f7c7d762750bbadc-deploct5jq --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734511364 && 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_1734511364/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-babb2b53619e067d16f7c7d762750bbadc-deploct5jq:/code/chaiverse_profiler_1734514140 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-babb2b53619e067d16f7c7d762750bbadc-deploct5jq:/code/chaiverse_profiler_1734514141 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-babb2b53619e067d16f7c7d762750bbadc-deploct5jq --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734514141 && 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_1734514141/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-9721-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-9721-v1-profiler
Service alexdaoud-trainer-bagir-9721-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.43s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-9721-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.64s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-9721-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-9721-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-9721-v1-profiler ready after 120.27302694320679s
Pipeline stage MKMLProfilerDeployer completed in 120.59s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-babb2b53619e067d16f7c7d762750bbadc-deplocgsx5:/code/chaiverse_profiler_1734515030 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-babb2b53619e067d16f7c7d762750bbadc-deplocgsx5 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734515030 && 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_1734515030/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-babb2b53619e067d16f7c7d762750bbadc-deplocgsx5:/code/chaiverse_profiler_1734517814 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-babb2b53619e067d16f7c7d762750bbadc-deplocgsx5:/code/chaiverse_profiler_1734517815 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-babb2b53619e067d16f7c7d762750bbadc-deplocgsx5 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734517815 && 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_1734517815/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-9721-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-9721-v1-profiler
Service alexdaoud-trainer-bagir-9721-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.28s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_9721_v1 status is now inactive due to auto deactivation removed underperforming models
alexdaoud-trainer-bagir-_9721_v1 status is now torndown due to DeploymentManager action
admin requested tearing down of alexdaoud-trainer-bagir-_9721_v1
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage MKMLDeleter completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLModelDeleter
Pipeline stage %s skipped, reason=%s
admin requested tearing down of chaiml-snugstable1-6-12_80796_v1
Pipeline stage MKMLModelDeleter completed in 0.33s
Shutdown handler not registered because Python interpreter is not running in the main thread
Shutdown handler de-registered
run pipeline %s
run pipeline %s
alexdaoud-trainer-bagir-_9721_v1 status is now torndown due to DeploymentManager action
run pipeline stage %s
alexdaoud-trainer-bagir-_9721_v1 status is now torndown due to DeploymentManager action