Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name epiculous-azure-dusk-v0-2-v4-mkmlizer
Waiting for job on epiculous-azure-dusk-v0-2-v4-mkmlizer to finish
epiculous-azure-dusk-v0-2-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
epiculous-azure-dusk-v0-2-v4-mkmlizer: ║ _____ __ __ ║
epiculous-azure-dusk-v0-2-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
epiculous-azure-dusk-v0-2-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
epiculous-azure-dusk-v0-2-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
epiculous-azure-dusk-v0-2-v4-mkmlizer: ║ /___/ ║
epiculous-azure-dusk-v0-2-v4-mkmlizer: ║ ║
epiculous-azure-dusk-v0-2-v4-mkmlizer: ║ Version: 0.11.12 ║
epiculous-azure-dusk-v0-2-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
epiculous-azure-dusk-v0-2-v4-mkmlizer: ║ https://mk1.ai ║
epiculous-azure-dusk-v0-2-v4-mkmlizer: ║ ║
epiculous-azure-dusk-v0-2-v4-mkmlizer: ║ The license key for the current software has been verified as ║
epiculous-azure-dusk-v0-2-v4-mkmlizer: ║ belonging to: ║
epiculous-azure-dusk-v0-2-v4-mkmlizer: ║ ║
epiculous-azure-dusk-v0-2-v4-mkmlizer: ║ Chai Research Corp. ║
epiculous-azure-dusk-v0-2-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
epiculous-azure-dusk-v0-2-v4-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
epiculous-azure-dusk-v0-2-v4-mkmlizer: ║ ║
epiculous-azure-dusk-v0-2-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
epiculous-azure-dusk-v0-2-v4-mkmlizer: Downloaded to shared memory in 49.257s
epiculous-azure-dusk-v0-2-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpga6p2iog, device:0
epiculous-azure-dusk-v0-2-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
epiculous-azure-dusk-v0-2-v4-mkmlizer: quantized model in 36.093s
epiculous-azure-dusk-v0-2-v4-mkmlizer: Processed model Epiculous/Azure_Dusk-v0.2 in 85.350s
epiculous-azure-dusk-v0-2-v4-mkmlizer: creating bucket guanaco-mkml-models
epiculous-azure-dusk-v0-2-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
epiculous-azure-dusk-v0-2-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/epiculous-azure-dusk-v0-2-v4
epiculous-azure-dusk-v0-2-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/epiculous-azure-dusk-v0-2-v4/config.json
epiculous-azure-dusk-v0-2-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/epiculous-azure-dusk-v0-2-v4/special_tokens_map.json
epiculous-azure-dusk-v0-2-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/epiculous-azure-dusk-v0-2-v4/tokenizer_config.json
epiculous-azure-dusk-v0-2-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/epiculous-azure-dusk-v0-2-v4/tokenizer.json
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Job epiculous-azure-dusk-v0-2-v4-mkmlizer completed after 114.31s with status: succeeded
Stopping job with name epiculous-azure-dusk-v0-2-v4-mkmlizer
Pipeline stage MKMLizer completed in 114.82s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service epiculous-azure-dusk-v0-2-v4
Waiting for inference service epiculous-azure-dusk-v0-2-v4 to be ready
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Inference service epiculous-azure-dusk-v0-2-v4 ready after 361.329060792923s
Pipeline stage MKMLDeployer completed in 361.89s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.6309244632720947s
Received healthy response to inference request in 1.4107847213745117s
Received healthy response to inference request in 1.4706645011901855s
Received healthy response to inference request in 1.3644757270812988s
Received healthy response to inference request in 1.755068063735962s
5 requests
0 failed requests
5th percentile: 1.3737375259399414
10th percentile: 1.382999324798584
20th percentile: 1.4015229225158692
30th percentile: 1.4227606773376464
40th percentile: 1.446712589263916
50th percentile: 1.4706645011901855
60th percentile: 1.5347684860229491
70th percentile: 1.598872470855713
80th percentile: 1.6557531833648682
90th percentile: 1.705410623550415
95th percentile: 1.7302393436431884
99th percentile: 1.7501023197174073
mean time: 1.5263834953308106
Pipeline stage StressChecker completed in 9.45s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.67s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2531.27s
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epiculous-azure-dusk-v0-2_v4 status is now inactive due to auto deactivation removed underperforming models
epiculous-azure-dusk-v0-2_v4 status is now torndown due to DeploymentManager action