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 rirv938-20250331-reward-66174-v1-mkmlizer
Waiting for job on rirv938-20250331-reward-66174-v1-mkmlizer to finish
rirv938-20250331-reward-66174-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-20250331-reward-66174-v1-mkmlizer: ║ _____ __ __ ║
rirv938-20250331-reward-66174-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rirv938-20250331-reward-66174-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rirv938-20250331-reward-66174-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rirv938-20250331-reward-66174-v1-mkmlizer: ║ /___/ ║
rirv938-20250331-reward-66174-v1-mkmlizer: ║ ║
rirv938-20250331-reward-66174-v1-mkmlizer: ║ Version: 0.12.8 ║
rirv938-20250331-reward-66174-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rirv938-20250331-reward-66174-v1-mkmlizer: ║ https://mk1.ai ║
rirv938-20250331-reward-66174-v1-mkmlizer: ║ ║
rirv938-20250331-reward-66174-v1-mkmlizer: ║ The license key for the current software has been verified as ║
rirv938-20250331-reward-66174-v1-mkmlizer: ║ belonging to: ║
rirv938-20250331-reward-66174-v1-mkmlizer: ║ ║
rirv938-20250331-reward-66174-v1-mkmlizer: ║ Chai Research Corp. ║
rirv938-20250331-reward-66174-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rirv938-20250331-reward-66174-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
rirv938-20250331-reward-66174-v1-mkmlizer: ║ ║
rirv938-20250331-reward-66174-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-20250331-reward-66174-v1-mkmlizer: Downloaded to shared memory in 28.285s
rirv938-20250331-reward-66174-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp8zsto15i, device:0
rirv938-20250331-reward-66174-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rirv938-20250331-reward-66174-v1-mkmlizer: quantized model in 86.411s
rirv938-20250331-reward-66174-v1-mkmlizer: Processed model rirv938/20250331_reward_ablation_bo1_bon_mixed in 114.696s
rirv938-20250331-reward-66174-v1-mkmlizer: creating bucket guanaco-mkml-models
rirv938-20250331-reward-66174-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-20250331-reward-66174-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-20250331-reward-66174-v1
rirv938-20250331-reward-66174-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-20250331-reward-66174-v1/config.json
rirv938-20250331-reward-66174-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-20250331-reward-66174-v1/special_tokens_map.json
rirv938-20250331-reward-66174-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-20250331-reward-66174-v1/tokenizer_config.json
rirv938-20250331-reward-66174-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-20250331-reward-66174-v1/tokenizer.json
rirv938-20250331-reward-66174-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-20250331-reward-66174-v1/flywheel_model.0.safetensors
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Job rirv938-20250331-reward-66174-v1-mkmlizer completed after 146.3s with status: succeeded
Stopping job with name rirv938-20250331-reward-66174-v1-mkmlizer
Pipeline stage MKMLizer completed in 146.79s
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 rirv938-20250331-reward-66174-v1
Waiting for inference service rirv938-20250331-reward-66174-v1 to be ready
Inference service rirv938-20250331-reward-66174-v1 ready after 110.47345924377441s
Pipeline stage MKMLDeployer completed in 111.06s
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Running pipeline stage StressChecker
Received healthy response to inference request in 6.721270561218262s
Received healthy response to inference request in 2.0877580642700195s
Received healthy response to inference request in 4.396816730499268s
Received healthy response to inference request in 2.122407913208008s
Received healthy response to inference request in 2.564248561859131s
5 requests
0 failed requests
5th percentile: 2.0946880340576173
10th percentile: 2.101618003845215
20th percentile: 2.11547794342041
30th percentile: 2.2107760429382326
40th percentile: 2.3875123023986817
50th percentile: 2.564248561859131
60th percentile: 3.2972758293151854
70th percentile: 4.03030309677124
80th percentile: 4.861707496643067
90th percentile: 5.791489028930664
95th percentile: 6.256379795074462
99th percentile: 6.628292407989502
mean time: 3.5785003662109376
%s, retrying in %s seconds...
Received healthy response to inference request in 3.4041600227355957s
Received healthy response to inference request in 2.402980327606201s
Received healthy response to inference request in 3.317481279373169s
Received healthy response to inference request in 2.201427698135376s
Received healthy response to inference request in 3.1074435710906982s
5 requests
0 failed requests
5th percentile: 2.241738224029541
10th percentile: 2.282048749923706
20th percentile: 2.362669801712036
30th percentile: 2.5438729763031005
40th percentile: 2.8256582736968996
50th percentile: 3.1074435710906982
60th percentile: 3.1914586544036867
70th percentile: 3.2754737377166747
80th percentile: 3.3348170280456544
90th percentile: 3.369488525390625
95th percentile: 3.3868242740631103
99th percentile: 3.400692873001099
mean time: 2.886698579788208
Pipeline stage StressChecker completed in 35.06s
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 0.68s
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 0.67s
Shutdown handler de-registered
rirv938-20250331-reward_66174_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 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service rirv938-20250331-reward-66174-v1-profiler
Waiting for inference service rirv938-20250331-reward-66174-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...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-66174-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.53s
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 rirv938-20250331-reward-66174-v1-profiler
Waiting for inference service rirv938-20250331-reward-66174-v1-profiler to be ready
Inference service rirv938-20250331-reward-66174-v1-profiler ready after 40.18207335472107s
Pipeline stage MKMLProfilerDeployer completed in 40.50s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-20250331-rewb1103ba14bf911cf47e4b772ae71225b-deploh4frj:/code/chaiverse_profiler_1743452448 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-20250331-rewb1103ba14bf911cf47e4b772ae71225b-deploh4frj --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743452448 && 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 512 --output_tokens 1 --summary /code/chaiverse_profiler_1743452448/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-66174-v1-profiler is running
Tearing down inference service rirv938-20250331-reward-66174-v1-profiler
Service rirv938-20250331-reward-66174-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.27s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-66174-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.59s
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 rirv938-20250331-reward-66174-v1-profiler
Waiting for inference service rirv938-20250331-reward-66174-v1-profiler to be ready
Inference service rirv938-20250331-reward-66174-v1-profiler ready after 40.18511128425598s
Pipeline stage MKMLProfilerDeployer completed in 40.60s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-20250331-rewb1103ba14bf911cf47e4b772ae71225b-deplo74zlq:/code/chaiverse_profiler_1743456064 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-20250331-rewb1103ba14bf911cf47e4b772ae71225b-deplo74zlq --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743456064 && 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 512 --output_tokens 1 --summary /code/chaiverse_profiler_1743456064/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-66174-v1-profiler is running
Tearing down inference service rirv938-20250331-reward-66174-v1-profiler
Service rirv938-20250331-reward-66174-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.51s
Shutdown handler de-registered
rirv938-20250331-reward_66174_v1 status is now inactive due to auto deactivation removed underperforming models