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 cloudyu-nemo-dpo-v19-v8-mkmlizer
Waiting for job on cloudyu-nemo-dpo-v19-v8-mkmlizer to finish
cloudyu-nemo-dpo-v19-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cloudyu-nemo-dpo-v19-v8-mkmlizer: ║ _____ __ __ ║
cloudyu-nemo-dpo-v19-v8-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cloudyu-nemo-dpo-v19-v8-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cloudyu-nemo-dpo-v19-v8-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cloudyu-nemo-dpo-v19-v8-mkmlizer: ║ /___/ ║
cloudyu-nemo-dpo-v19-v8-mkmlizer: ║ ║
cloudyu-nemo-dpo-v19-v8-mkmlizer: ║ Version: 0.11.12 ║
cloudyu-nemo-dpo-v19-v8-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cloudyu-nemo-dpo-v19-v8-mkmlizer: ║ https://mk1.ai ║
cloudyu-nemo-dpo-v19-v8-mkmlizer: ║ ║
cloudyu-nemo-dpo-v19-v8-mkmlizer: ║ The license key for the current software has been verified as ║
cloudyu-nemo-dpo-v19-v8-mkmlizer: ║ belonging to: ║
cloudyu-nemo-dpo-v19-v8-mkmlizer: ║ ║
cloudyu-nemo-dpo-v19-v8-mkmlizer: ║ Chai Research Corp. ║
cloudyu-nemo-dpo-v19-v8-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cloudyu-nemo-dpo-v19-v8-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
cloudyu-nemo-dpo-v19-v8-mkmlizer: ║ ║
cloudyu-nemo-dpo-v19-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cloudyu-nemo-dpo-v19-v8-mkmlizer: Downloaded to shared memory in 35.166s
cloudyu-nemo-dpo-v19-v8-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp3w2uxwp9, device:0
cloudyu-nemo-dpo-v19-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cloudyu-nemo-dpo-v19-v8-mkmlizer: quantized model in 36.501s
cloudyu-nemo-dpo-v19-v8-mkmlizer: Processed model cloudyu/Nemo-DPO-V19 in 71.667s
cloudyu-nemo-dpo-v19-v8-mkmlizer: creating bucket guanaco-mkml-models
cloudyu-nemo-dpo-v19-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cloudyu-nemo-dpo-v19-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cloudyu-nemo-dpo-v19-v8
cloudyu-nemo-dpo-v19-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v19-v8/special_tokens_map.json
cloudyu-nemo-dpo-v19-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v19-v8/config.json
cloudyu-nemo-dpo-v19-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v19-v8/tokenizer_config.json
cloudyu-nemo-dpo-v19-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v19-v8/tokenizer.json
cloudyu-nemo-dpo-v19-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cloudyu-nemo-dpo-v19-v8/flywheel_model.0.safetensors
cloudyu-nemo-dpo-v19-v8-mkmlizer:
Loading 0: 0%| | 0/363 [00:00<?, ?it/s]
Loading 0: 1%|▏ | 5/363 [00:00<00:12, 28.65it/s]
Loading 0: 4%|▎ | 13/363 [00:00<00:06, 50.10it/s]
Loading 0: 5%|▌ | 19/363 [00:00<00:07, 47.26it/s]
Loading 0: 7%|▋ | 25/363 [00:00<00:07, 48.23it/s]
Loading 0: 9%|▊ | 31/363 [00:00<00:06, 50.92it/s]
Loading 0: 10%|█ | 37/363 [00:00<00:06, 46.89it/s]
Loading 0: 12%|█▏ | 42/363 [00:00<00:07, 45.45it/s]
Loading 0: 13%|█▎ | 49/363 [00:01<00:06, 50.29it/s]
Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 47.84it/s]
Loading 0: 17%|█▋ | 61/363 [00:01<00:08, 36.19it/s]
Loading 0: 18%|█▊ | 66/363 [00:01<00:08, 36.20it/s]
Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 40.43it/s]
Loading 0: 21%|██▏ | 78/363 [00:01<00:06, 41.09it/s]
Loading 0: 23%|██▎ | 83/363 [00:01<00:06, 41.33it/s]
Loading 0: 25%|██▍ | 90/363 [00:02<00:05, 46.27it/s]
Loading 0: 26%|██▋ | 96/363 [00:02<00:06, 43.62it/s]
Loading 0: 28%|██▊ | 101/363 [00:02<00:06, 41.56it/s]
Loading 0: 29%|██▉ | 107/363 [00:02<00:05, 45.89it/s]
Loading 0: 31%|███ | 112/363 [00:02<00:05, 46.89it/s]
Loading 0: 32%|███▏ | 117/363 [00:02<00:05, 44.65it/s]
Loading 0: 34%|███▎ | 122/363 [00:02<00:05, 45.65it/s]
Loading 0: 35%|███▍ | 127/363 [00:02<00:05, 39.48it/s]
Loading 0: 37%|███▋ | 135/363 [00:03<00:04, 47.59it/s]
Loading 0: 39%|███▉ | 141/363 [00:03<00:04, 45.81it/s]
Loading 0: 40%|████ | 146/363 [00:03<00:06, 32.35it/s]
Loading 0: 41%|████▏ | 150/363 [00:03<00:06, 31.75it/s]
Loading 0: 43%|████▎ | 157/363 [00:03<00:05, 38.27it/s]
Loading 0: 45%|████▍ | 162/363 [00:03<00:04, 40.61it/s]
Loading 0: 46%|████▌ | 167/363 [00:04<00:05, 36.66it/s]
Loading 0: 48%|████▊ | 175/363 [00:04<00:04, 45.18it/s]
Loading 0: 50%|████▉ | 181/363 [00:04<00:04, 44.07it/s]
Loading 0: 51%|█████ | 186/363 [00:04<00:04, 43.23it/s]
Loading 0: 53%|█████▎ | 193/363 [00:04<00:03, 48.53it/s]
Loading 0: 55%|█████▍ | 199/363 [00:04<00:03, 46.53it/s]
Loading 0: 56%|█████▌ | 204/363 [00:04<00:03, 44.21it/s]
Loading 0: 58%|█████▊ | 211/363 [00:04<00:03, 49.16it/s]
Loading 0: 60%|█████▉ | 217/363 [00:05<00:03, 46.49it/s]
Loading 0: 61%|██████ | 222/363 [00:05<00:02, 47.24it/s]
Loading 0: 63%|██████▎ | 227/363 [00:05<00:04, 31.19it/s]
Loading 0: 64%|██████▎ | 231/363 [00:05<00:04, 29.79it/s]
Loading 0: 66%|██████▌ | 238/363 [00:05<00:03, 36.31it/s]
Loading 0: 67%|██████▋ | 243/363 [00:05<00:03, 38.87it/s]
Loading 0: 68%|██████▊ | 248/363 [00:05<00:03, 35.19it/s]
Loading 0: 71%|███████ | 256/363 [00:06<00:02, 42.77it/s]
Loading 0: 72%|███████▏ | 262/363 [00:06<00:02, 42.51it/s]
Loading 0: 74%|███████▎ | 267/363 [00:06<00:02, 42.40it/s]
Loading 0: 75%|███████▌ | 274/363 [00:06<00:01, 46.96it/s]
Loading 0: 77%|███████▋ | 279/363 [00:06<00:01, 47.07it/s]
Loading 0: 78%|███████▊ | 284/363 [00:06<00:02, 39.44it/s]
Loading 0: 80%|████████ | 291/363 [00:06<00:01, 46.54it/s]
Loading 0: 82%|████████▏ | 297/363 [00:07<00:01, 47.11it/s]
Loading 0: 83%|████████▎ | 302/363 [00:07<00:01, 46.44it/s]
Loading 0: 85%|████████▍ | 307/363 [00:14<00:22, 2.50it/s]
Loading 0: 86%|████████▌ | 312/363 [00:14<00:15, 3.40it/s]
Loading 0: 88%|████████▊ | 320/363 [00:14<00:07, 5.42it/s]
Loading 0: 90%|████████▉ | 326/363 [00:14<00:05, 7.32it/s]
Loading 0: 91%|█████████ | 331/363 [00:14<00:03, 9.25it/s]
Loading 0: 93%|█████████▎| 338/363 [00:14<00:01, 13.05it/s]
Loading 0: 94%|█████████▍| 343/363 [00:14<00:01, 16.11it/s]
Loading 0: 96%|█████████▌| 348/363 [00:15<00:00, 18.30it/s]
Loading 0: 98%|█████████▊| 356/363 [00:15<00:00, 25.39it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 27.93it/s]
Job cloudyu-nemo-dpo-v19-v8-mkmlizer completed after 94.32s with status: succeeded
Stopping job with name cloudyu-nemo-dpo-v19-v8-mkmlizer
Pipeline stage MKMLizer completed in 94.86s
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 cloudyu-nemo-dpo-v19-v8
Waiting for inference service cloudyu-nemo-dpo-v19-v8 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
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service cloudyu-nemo-dpo-v19-v8 ready after 220.81348299980164s
Pipeline stage MKMLDeployer completed in 221.34s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3664777278900146s
Received healthy response to inference request in 1.7561826705932617s
Received healthy response to inference request in 1.6593928337097168s
Received healthy response to inference request in 1.6799182891845703s
Received healthy response to inference request in 1.8837220668792725s
5 requests
0 failed requests
5th percentile: 1.6634979248046875
10th percentile: 1.6676030158996582
20th percentile: 1.6758131980895996
30th percentile: 1.6951711654663086
40th percentile: 1.725676918029785
50th percentile: 1.7561826705932617
60th percentile: 1.807198429107666
70th percentile: 1.8582141876220704
80th percentile: 1.980273199081421
90th percentile: 2.173375463485718
95th percentile: 2.269926595687866
99th percentile: 2.3471675014495847
mean time: 1.8691387176513672
Pipeline stage StressChecker completed in 10.67s
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 2.49s
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 2.31s
Shutdown handler de-registered
cloudyu-nemo-dpo-v19_v8 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
Pipeline stage OfflineFamilyFriendlyScorer completed in 2958.65s
Shutdown handler de-registered
cloudyu-nemo-dpo-v19_v8 status is now inactive due to auto deactivation removed underperforming models