alexdaoud-trainer-bajem_37787

developer_uid: chai_backend_admin
submission_id: alexdaoud-trainer-bajem_37787_v1
model_name: alexdaoud-trainer-bajem_37787_v1
model_group: alexdaoud/trainer_bajem_
status: torndown
timestamp: 2025-03-06T21:21:07+00:00
num_battles: 9020
num_wins: 4761
celo_rating: 1299.68
family_friendly_score: 0.5518000000000001
family_friendly_standard_error: 0.007033018697543751
submission_type: basic
model_repo: alexdaoud/trainer_bajem_2025-03-06-checkpoint-4
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 256
max_output_tokens: 1
reward_model: default
display_name: alexdaoud-trainer-bajem_37787_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: alexdaoud/trainer_bajem_2025-03-06-checkpoint-4
model_size: 8B
ranking_group: single
us_pacific_date: 2025-03-06
win_ratio: 0.5278270509977827
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 256, 'best_of': 1, 'max_output_tokens': 1}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '', 'truncate_by_message': True}
weights: {'nsfw': 2.0, 'preference': 8.0}
Resubmit model
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-bajem-37787-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bajem-37787-v1-mkmlizer to finish
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ║     _____            __           __                                ║
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ║       /___/                                                         ║
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ║  Version: 0.11.37                                                   ║
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ║  https://mk1.ai                                                     ║
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ║  belonging to:                                                      ║
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ║  Chai Research Corp.                                                ║
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bajem-37787-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bajem-37787-v1-mkmlizer: Downloaded to shared memory in 26.776s
alexdaoud-trainer-bajem-37787-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpz028_uuc, device:0
alexdaoud-trainer-bajem-37787-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bajem-37787-v1-mkmlizer: quantized model in 85.224s
alexdaoud-trainer-bajem-37787-v1-mkmlizer: Processed model alexdaoud/trainer_bajem_2025-03-06-checkpoint-4 in 112.000s
alexdaoud-trainer-bajem-37787-v1-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bajem-37787-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bajem-37787-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bajem-37787-v1
alexdaoud-trainer-bajem-37787-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bajem-37787-v1/config.json
alexdaoud-trainer-bajem-37787-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bajem-37787-v1/special_tokens_map.json
alexdaoud-trainer-bajem-37787-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bajem-37787-v1/tokenizer_config.json
alexdaoud-trainer-bajem-37787-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bajem-37787-v1/tokenizer.json
alexdaoud-trainer-bajem-37787-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bajem-37787-v1/flywheel_model.0.safetensors
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Job alexdaoud-trainer-bajem-37787-v1-mkmlizer completed after 134.66s with status: succeeded
Stopping job with name alexdaoud-trainer-bajem-37787-v1-mkmlizer
Pipeline stage MKMLizer completed in 135.20s
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 alexdaoud-trainer-bajem-37787-v1
Waiting for inference service alexdaoud-trainer-bajem-37787-v1 to be ready
Inference service alexdaoud-trainer-bajem-37787-v1 ready after 110.40198540687561s
Pipeline stage MKMLDeployer completed in 110.97s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.5953705310821533s
Received healthy response to inference request in 2.4592084884643555s
Received healthy response to inference request in 2.8678793907165527s
Received healthy response to inference request in 2.3659677505493164s
Received healthy response to inference request in 2.426028251647949s
5 requests
0 failed requests
5th percentile: 2.377979850769043
10th percentile: 2.3899919509887697
20th percentile: 2.4140161514282226
30th percentile: 2.4326642990112304
40th percentile: 2.445936393737793
50th percentile: 2.4592084884643555
60th percentile: 2.6226768493652344
70th percentile: 2.7861452102661133
80th percentile: 3.013377618789673
90th percentile: 3.304374074935913
95th percentile: 3.449872303009033
99th percentile: 3.5662708854675294
mean time: 2.7428908824920653
Pipeline stage StressChecker completed in 15.22s
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 0.73s
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 0.82s
Shutdown handler de-registered
alexdaoud-trainer-bajem_37787_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 alexdaoud-trainer-bajem-37787-v1-profiler
Waiting for inference service alexdaoud-trainer-bajem-37787-v1-profiler to be ready
Inference service alexdaoud-trainer-bajem-37787-v1-profiler ready after 110.5384533405304s
Pipeline stage MKMLProfilerDeployer completed in 111.01s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deplov58j8:/code/chaiverse_profiler_1741296482 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deplov58j8 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1741296482 && 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_1741296482/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deplov58j8:/code/chaiverse_profiler_1741296487 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deplov58j8 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1741296487 && 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_1741296487/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deplov58j8:/code/chaiverse_profiler_1741296489 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deplov58j8 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1741296489 && 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_1741296489/summary.json'
clean up pipeline due to error=ISVCScriptError('Command failed with error: Defaulted container "kserve-container" out of: kserve-container, queue-proxy\nUnable to use a TTY - input is not a terminal or the right kind of file\nTraceback (most recent call last):\n  File "/code/chaiverse_profiler_1741296489/profiles.py", line 605, in <module>\n    cli()\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__\n    return self.main(*args, **kwargs)\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main\n    rv = self.invoke(ctx)\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke\n    return _process_result(sub_ctx.command.invoke(sub_ctx))\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke\n    return ctx.invoke(self.callback, **ctx.params)\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke\n    return __callback(*args, **kwargs)\n  File "/code/chaiverse_profiler_1741296489/profiles.py", line 105, in profile_batches\n    profiles = run_batch_profile_with_auto_batch(target, batches, settings, output, auto_batch)\n  File "/code/chaiverse_profiler_1741296489/profiles.py", line 156, in run_batch_profile_with_auto_batch\n    profiles = run_batch_profile(target, batches, settings, output)\n  File "/code/chaiverse_profiler_1741296489/profiles.py", line 263, in run_batch_profile\n    batch_profile = profile_throughput(\n  File "/code/chaiverse_profiler_1741296489/profiles.py", line 281, in profile_throughput\n    raw = analysis_data.load_raw_data(\nTypeError: load_raw_data() got an unexpected keyword argument \'num_unique_prompts\'\ncommand terminated with exit code 1\n, output: waiting for startup of TargetModel(endpoint=\'localhost\', route=\'GPT-J-6B-lit-v2\', namespace=\'tenant-chaiml-guanaco\', max_characters=9999, reward=False, url_format=\'{endpoint}-predictor-default.{namespace}.knative.ord1.coreweave.cloud\')\n')
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bajem-37787-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bajem-37787-v1-profiler
Service alexdaoud-trainer-bajem-37787-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.37s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bajem-37787-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.31s
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-bajem-37787-v1-profiler
Waiting for inference service alexdaoud-trainer-bajem-37787-v1-profiler to be ready
Inference service alexdaoud-trainer-bajem-37787-v1-profiler ready after 50.246652603149414s
Pipeline stage MKMLProfilerDeployer completed in 50.61s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deploknxrk:/code/chaiverse_profiler_1741296575 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deploknxrk --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1741296575 && 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_1741296575/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deploknxrk:/code/chaiverse_profiler_1741296579 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deploknxrk --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1741296579 && 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_1741296579/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deploknxrk:/code/chaiverse_profiler_1741296582 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deploknxrk --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1741296582 && 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_1741296582/summary.json'
clean up pipeline due to error=ISVCScriptError('Command failed with error: Defaulted container "kserve-container" out of: kserve-container, queue-proxy\nUnable to use a TTY - input is not a terminal or the right kind of file\nTraceback (most recent call last):\n  File "/code/chaiverse_profiler_1741296582/profiles.py", line 605, in <module>\n    cli()\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__\n    return self.main(*args, **kwargs)\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main\n    rv = self.invoke(ctx)\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke\n    return _process_result(sub_ctx.command.invoke(sub_ctx))\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke\n    return ctx.invoke(self.callback, **ctx.params)\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke\n    return __callback(*args, **kwargs)\n  File "/code/chaiverse_profiler_1741296582/profiles.py", line 105, in profile_batches\n    profiles = run_batch_profile_with_auto_batch(target, batches, settings, output, auto_batch)\n  File "/code/chaiverse_profiler_1741296582/profiles.py", line 156, in run_batch_profile_with_auto_batch\n    profiles = run_batch_profile(target, batches, settings, output)\n  File "/code/chaiverse_profiler_1741296582/profiles.py", line 263, in run_batch_profile\n    batch_profile = profile_throughput(\n  File "/code/chaiverse_profiler_1741296582/profiles.py", line 281, in profile_throughput\n    raw = analysis_data.load_raw_data(\nTypeError: load_raw_data() got an unexpected keyword argument \'num_unique_prompts\'\ncommand terminated with exit code 1\n, output: waiting for startup of TargetModel(endpoint=\'localhost\', route=\'GPT-J-6B-lit-v2\', namespace=\'tenant-chaiml-guanaco\', max_characters=9999, reward=False, url_format=\'{endpoint}-predictor-default.{namespace}.knative.ord1.coreweave.cloud\')\n')
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bajem-37787-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bajem-37787-v1-profiler
Service alexdaoud-trainer-bajem-37787-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.48s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bajem-37787-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.40s
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-bajem-37787-v1-profiler
Waiting for inference service alexdaoud-trainer-bajem-37787-v1-profiler to be ready
Inference service alexdaoud-trainer-bajem-37787-v1-profiler ready after 40.303582191467285s
Pipeline stage MKMLProfilerDeployer completed in 40.70s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deplogdrkk:/code/chaiverse_profiler_1741296657 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deplogdrkk --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1741296657 && 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_1741296657/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deplogdrkk:/code/chaiverse_profiler_1741296661 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deplogdrkk --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1741296661 && 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_1741296661/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deplogdrkk:/code/chaiverse_profiler_1741296664 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba37b6ffb4e24fcbfc289f9e409340f30b-deplogdrkk --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1741296664 && 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_1741296664/summary.json'
clean up pipeline due to error=ISVCScriptError('Command failed with error: Defaulted container "kserve-container" out of: kserve-container, queue-proxy\nUnable to use a TTY - input is not a terminal or the right kind of file\nTraceback (most recent call last):\n  File "/code/chaiverse_profiler_1741296664/profiles.py", line 605, in <module>\n    cli()\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__\n    return self.main(*args, **kwargs)\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main\n    rv = self.invoke(ctx)\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke\n    return _process_result(sub_ctx.command.invoke(sub_ctx))\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke\n    return ctx.invoke(self.callback, **ctx.params)\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke\n    return __callback(*args, **kwargs)\n  File "/code/chaiverse_profiler_1741296664/profiles.py", line 105, in profile_batches\n    profiles = run_batch_profile_with_auto_batch(target, batches, settings, output, auto_batch)\n  File "/code/chaiverse_profiler_1741296664/profiles.py", line 156, in run_batch_profile_with_auto_batch\n    profiles = run_batch_profile(target, batches, settings, output)\n  File "/code/chaiverse_profiler_1741296664/profiles.py", line 263, in run_batch_profile\n    batch_profile = profile_throughput(\n  File "/code/chaiverse_profiler_1741296664/profiles.py", line 281, in profile_throughput\n    raw = analysis_data.load_raw_data(\nTypeError: load_raw_data() got an unexpected keyword argument \'num_unique_prompts\'\ncommand terminated with exit code 1\n, output: waiting for startup of TargetModel(endpoint=\'localhost\', route=\'GPT-J-6B-lit-v2\', namespace=\'tenant-chaiml-guanaco\', max_characters=9999, reward=False, url_format=\'{endpoint}-predictor-default.{namespace}.knative.ord1.coreweave.cloud\')\n')
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bajem-37787-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bajem-37787-v1-profiler
Service alexdaoud-trainer-bajem-37787-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.57s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3178.81s
Shutdown handler de-registered
alexdaoud-trainer-bajem_37787_v1 status is now inactive due to auto deactivation removed underperforming models
alexdaoud-trainer-bajem_37787_v1 status is now torndown due to DeploymentManager action