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Running pipeline stage MKMLizer
Starting job with name chaiml-0916-intent-suppo-6584-v4-mkmlizer
Waiting for job on chaiml-0916-intent-suppo-6584-v4-mkmlizer to finish
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chaiml-0916-intent-suppo-6584-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ║ _____ __ __ ║
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ║ /___/ ║
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ║ ║
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ║ Version: 0.10.1 ║
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ║ https://mk1.ai ║
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ║ ║
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ║ belonging to: ║
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ║ ║
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ║ Chai Research Corp. ║
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ║ ║
chaiml-0916-intent-suppo-6584-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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chaiml-0916-intent-suppo-6584-v4-mkmlizer: Downloaded to shared memory in 58.748s
chaiml-0916-intent-suppo-6584-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmppb8oqmcw, device:0
chaiml-0916-intent-suppo-6584-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-0916-intent-suppo-6584-v4-mkmlizer: quantized model in 40.781s
chaiml-0916-intent-suppo-6584-v4-mkmlizer: Processed model ChaiML/0916-intent-support-albert in 99.529s
chaiml-0916-intent-suppo-6584-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-0916-intent-suppo-6584-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-0916-intent-suppo-6584-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-0916-intent-suppo-6584-v4
chaiml-0916-intent-suppo-6584-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-0916-intent-suppo-6584-v4/config.json
chaiml-0916-intent-suppo-6584-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-0916-intent-suppo-6584-v4/special_tokens_map.json
chaiml-0916-intent-suppo-6584-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-0916-intent-suppo-6584-v4/tokenizer_config.json
chaiml-0916-intent-suppo-6584-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-0916-intent-suppo-6584-v4/tokenizer.json
chaiml-0916-intent-suppo-6584-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-0916-intent-suppo-6584-v4/flywheel_model.0.safetensors
chaiml-0916-intent-suppo-6584-v4-mkmlizer:
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Job chaiml-0916-intent-suppo-6584-v4-mkmlizer completed after 125.61s with status: succeeded
Stopping job with name chaiml-0916-intent-suppo-6584-v4-mkmlizer
Pipeline stage MKMLizer completed in 126.61s
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Creating inference service chaiml-0916-intent-suppo-6584-v4
Waiting for inference service chaiml-0916-intent-suppo-6584-v4 to be ready
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Inference service chaiml-0916-intent-suppo-6584-v4 ready after 221.19876837730408s
Pipeline stage MKMLDeployer completed in 221.68s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.056039810180664s
Received healthy response to inference request in 1.9436805248260498s
Received healthy response to inference request in 2.1982104778289795s
Received healthy response to inference request in 1.6262469291687012s
Received healthy response to inference request in 3.0444045066833496s
5 requests
0 failed requests
5th percentile: 1.6897336483001708
10th percentile: 1.7532203674316407
20th percentile: 1.8801938056945802
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40th percentile: 2.0110960960388184
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60th percentile: 2.1129080772399904
70th percentile: 2.1697763442993163
80th percentile: 2.3674492835998535
90th percentile: 2.7059268951416016
95th percentile: 2.8751657009124756
99th percentile: 3.0105567455291746
mean time: 2.1737164497375487
Pipeline stage StressChecker completed in 11.77s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 5.42s
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Creating inference service chaiml-0916-intent-suppo-6584-v4-profiler
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Inference service chaiml-0916-intent-suppo-6584-v4-profiler ready after 210.46460628509521s
Pipeline stage MKMLProfilerDeployer completed in 210.84s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-0916-intent-s6049ade41cefe33a223dd71dead8412a-deploccsst:/code/chaiverse_profiler_1726851964 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-0916-intent-s6049ade41cefe33a223dd71dead8412a-deploccsst --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726851964 && python profiles.py profile --best_of_n 8 --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 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726851964/summary.json'
kubectl exec -it chaiml-0916-intent-s6049ade41cefe33a223dd71dead8412a-deploccsst --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726851964/summary.json'
%s, retrying in %s seconds...
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-0916-intent-s6049ade41cefe33a223dd71dead8412a-deploccsst:/code/chaiverse_profiler_1726852218 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-0916-intent-s6049ade41cefe33a223dd71dead8412a-deploccsst --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726852218 && python profiles.py profile --best_of_n 8 --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 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726852218/summary.json'
kubectl exec -it chaiml-0916-intent-s6049ade41cefe33a223dd71dead8412a-deploccsst --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726852218/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1948.36s
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