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-6172-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-6172-v1-mkmlizer to finish
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ║ _____ __ __ ║
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ║ /___/ ║
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ║ Version: 0.11.12 ║
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ║ https://mk1.ai ║
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ║ The license key for the current software has been verified as ║
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ║ belonging to: ║
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ║ Chai Research Corp. ║
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-6172-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-6172-v1-mkmlizer: Downloaded to shared memory in 30.920s
alexdaoud-trainer-bagir-6172-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpvc0edd9o, device:0
alexdaoud-trainer-bagir-6172-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-6172-v1-mkmlizer: quantized model in 83.899s
alexdaoud-trainer-bagir-6172-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-66 in 114.819s
alexdaoud-trainer-bagir-6172-v1-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-6172-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-6172-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6172-v1
alexdaoud-trainer-bagir-6172-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6172-v1/config.json
alexdaoud-trainer-bagir-6172-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6172-v1/special_tokens_map.json
alexdaoud-trainer-bagir-6172-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6172-v1/tokenizer_config.json
alexdaoud-trainer-bagir-6172-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6172-v1/tokenizer.json
alexdaoud-trainer-bagir-6172-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6172-v1/flywheel_model.0.safetensors
alexdaoud-trainer-bagir-6172-v1-mkmlizer:
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Job alexdaoud-trainer-bagir-6172-v1-mkmlizer completed after 135.36s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-6172-v1-mkmlizer
Pipeline stage MKMLizer completed in 135.87s
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-6172-v1
Waiting for inference service alexdaoud-trainer-bagir-6172-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
Retrying (%r) after connection broken by '%r': %s
Inference service alexdaoud-trainer-bagir-6172-v1 ready after 210.72561192512512s
Pipeline stage MKMLDeployer completed in 211.26s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 4.259925127029419s
Received healthy response to inference request in 3.0909078121185303s
Received healthy response to inference request in 2.9836602210998535s
Received healthy response to inference request in 2.6417040824890137s
Received healthy response to inference request in 2.210933208465576s
5 requests
0 failed requests
5th percentile: 2.297087383270264
10th percentile: 2.383241558074951
20th percentile: 2.555549907684326
30th percentile: 2.7100953102111816
40th percentile: 2.8468777656555178
50th percentile: 2.9836602210998535
60th percentile: 3.026559257507324
70th percentile: 3.0694582939147947
80th percentile: 3.324711275100708
90th percentile: 3.7923182010650636
95th percentile: 4.026121664047241
99th percentile: 4.213164434432984
mean time: 3.0374260902404786
Pipeline stage StressChecker completed in 16.52s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 2.24s
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Running pipeline stage TriggerMKMLProfilingPipeline
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triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 2.03s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_6172_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 0.11s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-6172-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-6172-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-6172-v1-profiler ready after 210.53247737884521s
Pipeline stage MKMLProfilerDeployer completed in 210.87s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba021b71ca88819f166d8ba745c482fe1f-deplo477bv:/code/chaiverse_profiler_1734375292 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba021b71ca88819f166d8ba745c482fe1f-deplo477bv --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734375292 && 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_1734375292/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba021b71ca88819f166d8ba745c482fe1f-deplo477bv:/code/chaiverse_profiler_1734378101 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba021b71ca88819f166d8ba745c482fe1f-deplo477bv:/code/chaiverse_profiler_1734378102 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba021b71ca88819f166d8ba745c482fe1f-deplo477bv --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734378102 && 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_1734378102/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6172-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-6172-v1-profiler
Service alexdaoud-trainer-bagir-6172-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.36s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6172-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.81s
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-6172-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-6172-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-6172-v1-profiler ready after 150.39693903923035s
Pipeline stage MKMLProfilerDeployer completed in 150.71s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba021b71ca88819f166d8ba745c482fe1f-deplonmr4k:/code/chaiverse_profiler_1734378859 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba021b71ca88819f166d8ba745c482fe1f-deplonmr4k --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734378859 && 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_1734378859/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba021b71ca88819f166d8ba745c482fe1f-deplonmr4k:/code/chaiverse_profiler_1734381635 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba021b71ca88819f166d8ba745c482fe1f-deplonmr4k:/code/chaiverse_profiler_1734381636 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba021b71ca88819f166d8ba745c482fe1f-deplonmr4k --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734381636 && 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_1734381636/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6172-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-6172-v1-profiler
Service alexdaoud-trainer-bagir-6172-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.24s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6172-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.65s
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-6172-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-6172-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-6172-v1-profiler ready after 110.2758116722107s
Pipeline stage MKMLProfilerDeployer completed in 110.61s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba021b71ca88819f166d8ba745c482fe1f-deplohq7ts:/code/chaiverse_profiler_1734382448 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba021b71ca88819f166d8ba745c482fe1f-deplohq7ts --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734382448 && 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_1734382448/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba021b71ca88819f166d8ba745c482fe1f-deplohq7ts:/code/chaiverse_profiler_1734385246 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba021b71ca88819f166d8ba745c482fe1f-deplohq7ts:/code/chaiverse_profiler_1734385247 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba021b71ca88819f166d8ba745c482fe1f-deplohq7ts --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734385247 && 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_1734385247/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6172-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-6172-v1-profiler
Service alexdaoud-trainer-bagir-6172-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.45s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_6172_v1 status is now inactive due to auto deactivation removed underperforming models