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 junhua024-chai-06-full-75415-v8-mkmlizer
Waiting for job on junhua024-chai-06-full-75415-v8-mkmlizer to finish
junhua024-chai-06-full-75415-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-75415-v8-mkmlizer: ║ ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ belonging to: ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-06-full-75415-v8-mkmlizer: ║ ║
junhua024-chai-06-full-75415-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
Failed to get response for submission junhua024-chai-06-full-_75415_v6: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v6-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-75415-v8-mkmlizer: Downloaded to shared memory in 90.517s
junhua024-chai-06-full-75415-v8-mkmlizer: Checking if junhua024/chai_06_full_02102_20241 already exists in ChaiML
junhua024-chai-06-full-75415-v8-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp3t1_bu_s, device:0
junhua024-chai-06-full-75415-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission junhua024-chai-06-full-_75415_v6: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v6-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-75415-v8-mkmlizer: quantized model in 39.252s
junhua024-chai-06-full-75415-v8-mkmlizer: Processed model junhua024/chai_06_full_02102_20241 in 129.852s
junhua024-chai-06-full-75415-v8-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-75415-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v8/nvidia/config.json
junhua024-chai-06-full-75415-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v8/nvidia/special_tokens_map.json
junhua024-chai-06-full-75415-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v8/nvidia/tokenizer_config.json
junhua024-chai-06-full-75415-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v8/nvidia/tokenizer.json
junhua024-chai-06-full-75415-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v8/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-75415-v8-mkmlizer:
Loading 0: 0%| | 0/363 [00:00<?, ?it/s]
Loading 0: 1%| | 2/363 [00:00<00:31, 11.46it/s]
Loading 0: 1%|▏ | 5/363 [00:00<00:25, 14.06it/s]
Loading 0: 3%|▎ | 10/363 [00:00<00:14, 24.12it/s]
Loading 0: 4%|▎ | 13/363 [00:00<00:14, 23.50it/s]
Loading 0: 5%|▍ | 17/363 [00:00<00:15, 21.78it/s]
Loading 0: 6%|▋ | 23/363 [00:01<00:13, 25.54it/s]
Loading 0: 8%|▊ | 29/363 [00:01<00:10, 31.66it/s]
Loading 0: 9%|▉ | 34/363 [00:01<00:11, 28.53it/s]
Loading 0: 10%|█ | 38/363 [00:01<00:11, 28.61it/s]
Loading 0: 12%|█▏ | 42/363 [00:01<00:11, 27.06it/s]
Loading 0: 13%|█▎ | 47/363 [00:01<00:09, 31.87it/s]
Loading 0: 14%|█▍ | 51/363 [00:01<00:11, 27.49it/s]
Loading 0: 15%|█▌ | 55/363 [00:02<00:11, 26.48it/s]
Loading 0: 16%|█▋ | 59/363 [00:02<00:11, 25.69it/s]
Loading 0: 18%|█▊ | 64/363 [00:02<00:09, 30.62it/s]
Loading 0: 19%|█▊ | 68/363 [00:02<00:12, 22.72it/s]
Loading 0: 20%|██ | 73/363 [00:02<00:10, 27.63it/s]
Loading 0: 21%|██ | 77/363 [00:02<00:10, 27.53it/s]
Loading 0: 22%|██▏ | 81/363 [00:03<00:11, 23.95it/s]
Loading 0: 23%|██▎ | 84/363 [00:03<00:11, 24.48it/s]
Loading 0: 25%|██▌ | 91/363 [00:03<00:09, 28.48it/s]
Loading 0: 26%|██▋ | 96/363 [00:03<00:08, 32.81it/s]
Loading 0: 28%|██▊ | 100/363 [00:03<00:10, 25.19it/s]
Loading 0: 29%|██▊ | 104/363 [00:03<00:10, 24.16it/s]
Loading 0: 30%|███ | 109/363 [00:04<00:08, 28.86it/s]
Loading 0: 31%|███▏ | 114/363 [00:04<00:09, 27.50it/s]
Loading 0: 33%|███▎ | 118/363 [00:04<00:09, 26.54it/s]
Loading 0: 34%|███▎ | 122/363 [00:04<00:09, 25.48it/s]
Loading 0: 35%|███▍ | 127/363 [00:04<00:07, 30.06it/s]
Loading 0: 36%|███▌ | 131/363 [00:05<00:10, 22.87it/s]
Loading 0: 37%|███▋ | 136/363 [00:05<00:08, 26.71it/s]
Loading 0: 39%|███▊ | 140/363 [00:05<00:08, 26.02it/s]
Loading 0: 39%|███▉ | 143/363 [00:05<00:10, 21.07it/s]
Loading 0: 41%|████ | 149/363 [00:05<00:09, 23.76it/s]
Loading 0: 42%|████▏ | 154/363 [00:05<00:07, 28.08it/s]
Loading 0: 44%|████▍ | 159/363 [00:06<00:06, 30.41it/s]
Loading 0: 45%|████▍ | 163/363 [00:06<00:08, 23.71it/s]
Loading 0: 46%|████▌ | 167/363 [00:06<00:08, 23.40it/s]
Loading 0: 47%|████▋ | 172/363 [00:06<00:06, 27.43it/s]
Loading 0: 49%|████▉ | 177/363 [00:06<00:07, 25.76it/s]
Loading 0: 50%|████▉ | 180/363 [00:06<00:07, 23.61it/s]
Loading 0: 51%|█████ | 185/363 [00:07<00:06, 25.50it/s]
Loading 0: 52%|█████▏ | 190/363 [00:07<00:06, 28.60it/s]
Loading 0: 53%|█████▎ | 194/363 [00:07<00:07, 22.31it/s]
Loading 0: 55%|█████▍ | 199/363 [00:07<00:06, 26.56it/s]
Loading 0: 56%|█████▌ | 203/363 [00:07<00:05, 26.80it/s]
Loading 0: 57%|█████▋ | 206/363 [00:07<00:06, 22.94it/s]
Loading 0: 58%|█████▊ | 212/363 [00:08<00:05, 25.24it/s]
Loading 0: 60%|█████▉ | 217/363 [00:08<00:04, 29.86it/s]
Loading 0: 61%|██████ | 222/363 [00:08<00:04, 32.14it/s]
Loading 0: 62%|██████▏ | 226/363 [00:08<00:05, 25.19it/s]
Loading 0: 63%|██████▎ | 230/363 [00:08<00:05, 24.89it/s]
Loading 0: 65%|██████▍ | 235/363 [00:08<00:04, 29.30it/s]
Loading 0: 66%|██████▌ | 239/363 [00:09<00:03, 31.23it/s]
Loading 0: 67%|██████▋ | 243/363 [00:09<00:05, 23.62it/s]
Loading 0: 68%|██████▊ | 248/363 [00:09<00:04, 25.54it/s]
Loading 0: 70%|██████▉ | 253/363 [00:09<00:03, 30.26it/s]
Loading 0: 71%|███████ | 257/363 [00:09<00:04, 23.43it/s]
Loading 0: 72%|███████▏ | 263/363 [00:09<00:03, 29.05it/s]
Loading 0: 74%|███████▎ | 267/363 [00:10<00:03, 29.67it/s]
Loading 0: 75%|███████▍ | 271/363 [00:10<00:03, 25.64it/s]
Loading 0: 76%|███████▌ | 275/363 [00:10<00:03, 25.21it/s]
Loading 0: 77%|███████▋ | 280/363 [00:10<00:02, 29.72it/s]
Loading 0: 79%|███████▊ | 285/363 [00:10<00:02, 31.57it/s]
Loading 0: 80%|███████▉ | 289/363 [00:11<00:03, 24.31it/s]
Loading 0: 81%|████████ | 293/363 [00:11<00:02, 23.88it/s]
Loading 0: 82%|████████▏ | 298/363 [00:11<00:02, 28.67it/s]
Loading 0: 83%|████████▎ | 303/363 [00:11<00:02, 27.13it/s]
Loading 0: 85%|████████▍ | 307/363 [00:11<00:02, 26.58it/s]
Loading 0: 86%|████████▌ | 311/363 [00:11<00:01, 26.07it/s]
Loading 0: 87%|████████▋ | 317/363 [00:12<00:01, 27.06it/s]
Loading 0: 88%|████████▊ | 320/363 [00:12<00:01, 24.86it/s]
Loading 0: 90%|████████▉ | 326/363 [00:12<00:01, 30.97it/s]
Loading 0: 91%|█████████ | 330/363 [00:12<00:01, 31.19it/s]
Loading 0: 92%|█████████▏| 334/363 [00:12<00:01, 26.45it/s]
Loading 0: 93%|█████████▎| 338/363 [00:12<00:00, 25.64it/s]
Loading 0: 94%|█████████▍| 343/363 [00:12<00:00, 30.42it/s]
Loading 0: 96%|█████████▌| 348/363 [00:13<00:00, 32.76it/s]
Loading 0: 97%|█████████▋| 352/363 [00:13<00:00, 16.17it/s]
Loading 0: 98%|█████████▊| 357/363 [00:13<00:00, 18.94it/s]
Job junhua024-chai-06-full-75415-v8-mkmlizer completed after 160.85s with status: succeeded
Stopping job with name junhua024-chai-06-full-75415-v8-mkmlizer
Pipeline stage MKMLizer completed in 161.56s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-75415-v8
Waiting for inference service junhua024-chai-06-full-75415-v8 to be ready
Failed to get response for submission junhua024-chai-06-full-_75415_v5: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-06-full-_75415_v5: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-06-full-_75415_v5: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-75415-v8 ready after 292.6015133857727s
Pipeline stage MKMLDeployer completed in 293.24s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6247880458831787s
Received healthy response to inference request in 1.8977875709533691s
Received healthy response to inference request in 1.7635407447814941s
Received healthy response to inference request in 1.5181186199188232s
Received healthy response to inference request in 1.8635683059692383s
5 requests
0 failed requests
5th percentile: 1.5672030448913574
10th percentile: 1.6162874698638916
20th percentile: 1.71445631980896
30th percentile: 1.783546257019043
40th percentile: 1.8235572814941405
50th percentile: 1.8635683059692383
60th percentile: 1.8772560119628907
70th percentile: 1.890943717956543
80th percentile: 2.0431876659393313
90th percentile: 2.333987855911255
95th percentile: 2.4793879508972165
99th percentile: 2.5957080268859865
mean time: 1.9335606575012207
Pipeline stage StressChecker completed in 11.16s
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 0.67s
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 1.10s
Shutdown handler de-registered
junhua024-chai-06-full-_75415_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
%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
%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
%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
junhua024-chai-06-full-_75415_v8 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_75415_v8 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_75415_v8 status is now torndown due to DeploymentManager action