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 leosheng-ft-dpo-10074-v3-mkmlizer
Waiting for job on leosheng-ft-dpo-10074-v3-mkmlizer to finish
leosheng-ft-dpo-10074-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
leosheng-ft-dpo-10074-v3-mkmlizer: ║ _____ __ __ ║
leosheng-ft-dpo-10074-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
leosheng-ft-dpo-10074-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
leosheng-ft-dpo-10074-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
leosheng-ft-dpo-10074-v3-mkmlizer: ║ /___/ ║
leosheng-ft-dpo-10074-v3-mkmlizer: ║ ║
leosheng-ft-dpo-10074-v3-mkmlizer: ║ Version: 0.11.12 ║
leosheng-ft-dpo-10074-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
leosheng-ft-dpo-10074-v3-mkmlizer: ║ https://mk1.ai ║
leosheng-ft-dpo-10074-v3-mkmlizer: ║ ║
leosheng-ft-dpo-10074-v3-mkmlizer: ║ The license key for the current software has been verified as ║
leosheng-ft-dpo-10074-v3-mkmlizer: ║ belonging to: ║
leosheng-ft-dpo-10074-v3-mkmlizer: ║ ║
leosheng-ft-dpo-10074-v3-mkmlizer: ║ Chai Research Corp. ║
leosheng-ft-dpo-10074-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
leosheng-ft-dpo-10074-v3-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
leosheng-ft-dpo-10074-v3-mkmlizer: ║ ║
leosheng-ft-dpo-10074-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
leosheng-ft-dpo-10074-v3-mkmlizer: Downloaded to shared memory in 50.465s
leosheng-ft-dpo-10074-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp227j4zb5, device:0
leosheng-ft-dpo-10074-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
leosheng-ft-dpo-10074-v3-mkmlizer: quantized model in 35.765s
leosheng-ft-dpo-10074-v3-mkmlizer: Processed model leosheng/ft-dpo-10074 in 86.230s
leosheng-ft-dpo-10074-v3-mkmlizer: creating bucket guanaco-mkml-models
leosheng-ft-dpo-10074-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
leosheng-ft-dpo-10074-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/leosheng-ft-dpo-10074-v3
leosheng-ft-dpo-10074-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/leosheng-ft-dpo-10074-v3/config.json
leosheng-ft-dpo-10074-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/leosheng-ft-dpo-10074-v3/special_tokens_map.json
leosheng-ft-dpo-10074-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/leosheng-ft-dpo-10074-v3/tokenizer_config.json
leosheng-ft-dpo-10074-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/leosheng-ft-dpo-10074-v3/tokenizer.json
leosheng-ft-dpo-10074-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/leosheng-ft-dpo-10074-v3/flywheel_model.0.safetensors
leosheng-ft-dpo-10074-v3-mkmlizer:
Loading 0: 0%| | 0/363 [00:00<?, ?it/s]
Loading 0: 1%|▏ | 5/363 [00:00<00:11, 31.34it/s]
Loading 0: 4%|▎ | 13/363 [00:00<00:06, 52.87it/s]
Loading 0: 5%|▌ | 19/363 [00:00<00:06, 49.62it/s]
Loading 0: 7%|▋ | 25/363 [00:00<00:06, 50.86it/s]
Loading 0: 9%|▊ | 31/363 [00:00<00:06, 52.83it/s]
Loading 0: 10%|█ | 37/363 [00:00<00:06, 50.08it/s]
Loading 0: 12%|█▏ | 43/363 [00:00<00:06, 50.67it/s]
Loading 0: 13%|█▎ | 49/363 [00:00<00:06, 51.66it/s]
Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 47.43it/s]
Loading 0: 17%|█▋ | 61/363 [00:01<00:08, 36.01it/s]
Loading 0: 18%|█▊ | 66/363 [00:01<00:08, 36.57it/s]
Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 40.96it/s]
Loading 0: 21%|██▏ | 78/363 [00:01<00:06, 41.54it/s]
Loading 0: 23%|██▎ | 83/363 [00:01<00:06, 41.65it/s]
Loading 0: 25%|██▍ | 90/363 [00:01<00:05, 47.53it/s]
Loading 0: 26%|██▋ | 96/363 [00:02<00:05, 44.61it/s]
Loading 0: 28%|██▊ | 101/363 [00:02<00:05, 44.40it/s]
Loading 0: 30%|██▉ | 108/363 [00:02<00:05, 50.47it/s]
Loading 0: 31%|███▏ | 114/363 [00:02<00:05, 46.87it/s]
Loading 0: 33%|███▎ | 119/363 [00:02<00:05, 44.71it/s]
Loading 0: 34%|███▍ | 125/363 [00:02<00:04, 48.40it/s]
Loading 0: 36%|███▌ | 130/363 [00:02<00:04, 48.11it/s]
Loading 0: 37%|███▋ | 135/363 [00:02<00:04, 47.01it/s]
Loading 0: 39%|███▉ | 141/363 [00:03<00:04, 44.82it/s]
Loading 0: 40%|████ | 146/363 [00:03<00:06, 32.88it/s]
Loading 0: 41%|████▏ | 150/363 [00:03<00:06, 32.08it/s]
Loading 0: 43%|████▎ | 156/363 [00:03<00:05, 37.59it/s]
Loading 0: 44%|████▍ | 161/363 [00:03<00:05, 38.24it/s]
Loading 0: 46%|████▌ | 166/363 [00:03<00:05, 39.25it/s]
Loading 0: 47%|████▋ | 171/363 [00:03<00:04, 40.95it/s]
Loading 0: 48%|████▊ | 176/363 [00:04<00:05, 36.24it/s]
Loading 0: 51%|█████ | 184/363 [00:04<00:04, 44.45it/s]
Loading 0: 52%|█████▏ | 189/363 [00:04<00:03, 44.79it/s]
Loading 0: 53%|█████▎ | 194/363 [00:04<00:04, 36.20it/s]
Loading 0: 56%|█████▌ | 202/363 [00:04<00:03, 44.31it/s]
Loading 0: 57%|█████▋ | 208/363 [00:04<00:03, 43.92it/s]
Loading 0: 59%|█████▊ | 213/363 [00:04<00:03, 43.36it/s]
Loading 0: 61%|██████ | 220/363 [00:05<00:02, 49.67it/s]
Loading 0: 62%|██████▏ | 226/363 [00:05<00:03, 34.76it/s]
Loading 0: 64%|██████▎ | 231/363 [00:05<00:03, 35.68it/s]
Loading 0: 66%|██████▌ | 238/363 [00:05<00:03, 41.17it/s]
Loading 0: 67%|██████▋ | 244/363 [00:05<00:02, 42.06it/s]
Loading 0: 69%|██████▊ | 249/363 [00:05<00:02, 40.76it/s]
Loading 0: 70%|███████ | 255/363 [00:05<00:02, 44.82it/s]
Loading 0: 72%|███████▏ | 260/363 [00:06<00:02, 44.47it/s]
Loading 0: 73%|███████▎ | 265/363 [00:06<00:02, 45.67it/s]
Loading 0: 75%|███████▍ | 271/363 [00:06<00:02, 44.86it/s]
Loading 0: 76%|███████▌ | 276/363 [00:06<00:02, 40.50it/s]
Loading 0: 78%|███████▊ | 282/363 [00:06<00:01, 42.91it/s]
Loading 0: 79%|███████▉ | 287/363 [00:06<00:01, 41.24it/s]
Loading 0: 80%|████████ | 292/363 [00:06<00:01, 41.08it/s]
Loading 0: 82%|████████▏ | 297/363 [00:06<00:01, 43.01it/s]
Loading 0: 83%|████████▎ | 302/363 [00:07<00:01, 43.70it/s]
Loading 0: 85%|████████▍ | 307/363 [00:14<00:23, 2.35it/s]
Loading 0: 86%|████████▌ | 312/363 [00:14<00:15, 3.26it/s]
Loading 0: 88%|████████▊ | 320/363 [00:14<00:08, 5.32it/s]
Loading 0: 90%|████████▉ | 326/363 [00:14<00:05, 7.26it/s]
Loading 0: 91%|█████████ | 331/363 [00:14<00:03, 9.33it/s]
Loading 0: 93%|█████████▎| 338/363 [00:14<00:01, 13.24it/s]
Loading 0: 95%|█████████▍| 344/363 [00:14<00:01, 16.57it/s]
Loading 0: 96%|█████████▌| 349/363 [00:14<00:00, 19.81it/s]
Loading 0: 98%|█████████▊| 356/363 [00:14<00:00, 26.09it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 29.36it/s]
Job leosheng-ft-dpo-10074-v3-mkmlizer completed after 113.78s with status: succeeded
Stopping job with name leosheng-ft-dpo-10074-v3-mkmlizer
Pipeline stage MKMLizer completed in 114.27s
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 leosheng-ft-dpo-10074-v3
Waiting for inference service leosheng-ft-dpo-10074-v3 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service leosheng-ft-dpo-10074-v3 ready after 190.73915076255798s
Pipeline stage MKMLDeployer completed in 191.25s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8600575923919678s
Received healthy response to inference request in 1.3882081508636475s
Received healthy response to inference request in 1.8714563846588135s
Received healthy response to inference request in 1.666883945465088s
Received healthy response to inference request in 1.6612415313720703s
5 requests
0 failed requests
5th percentile: 1.442814826965332
10th percentile: 1.4974215030670166
20th percentile: 1.6066348552703857
30th percentile: 1.6623700141906739
40th percentile: 1.6646269798278808
50th percentile: 1.666883945465088
60th percentile: 1.7441534042358398
70th percentile: 1.8214228630065918
80th percentile: 1.862337350845337
90th percentile: 1.8668968677520752
95th percentile: 1.8691766262054443
99th percentile: 1.8710004329681396
mean time: 1.6895695209503174
Pipeline stage StressChecker completed in 9.75s
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 0.78s
Shutdown handler de-registered
leosheng-ft-dpo-10074_v3 status is now deployed due to DeploymentManager action
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...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
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 1849.82s
Shutdown handler de-registered
leosheng-ft-dpo-10074_v3 status is now inactive due to auto deactivation removed underperforming models
leosheng-ft-dpo-10074_v3 status is now torndown due to DeploymentManager action
leosheng-ft-dpo-10074_v3 status is now torndown due to DeploymentManager action
leosheng-ft-dpo-10074_v3 status is now torndown due to DeploymentManager action