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 rirv938-20250331-reward-2681-v1-mkmlizer
Waiting for job on rirv938-20250331-reward-2681-v1-mkmlizer to finish
rirv938-20250331-reward-2681-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-20250331-reward-2681-v1-mkmlizer: ║ _____ __ __ ║
rirv938-20250331-reward-2681-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rirv938-20250331-reward-2681-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rirv938-20250331-reward-2681-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rirv938-20250331-reward-2681-v1-mkmlizer: ║ /___/ ║
rirv938-20250331-reward-2681-v1-mkmlizer: ║ ║
rirv938-20250331-reward-2681-v1-mkmlizer: ║ Version: 0.12.8 ║
rirv938-20250331-reward-2681-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rirv938-20250331-reward-2681-v1-mkmlizer: ║ https://mk1.ai ║
rirv938-20250331-reward-2681-v1-mkmlizer: ║ ║
rirv938-20250331-reward-2681-v1-mkmlizer: ║ The license key for the current software has been verified as ║
rirv938-20250331-reward-2681-v1-mkmlizer: ║ belonging to: ║
rirv938-20250331-reward-2681-v1-mkmlizer: ║ ║
rirv938-20250331-reward-2681-v1-mkmlizer: ║ Chai Research Corp. ║
rirv938-20250331-reward-2681-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rirv938-20250331-reward-2681-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
rirv938-20250331-reward-2681-v1-mkmlizer: ║ ║
rirv938-20250331-reward-2681-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-20250331-reward-2681-v1-mkmlizer: Downloaded to shared memory in 29.110s
rirv938-20250331-reward-2681-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp530d26dq, device:0
rirv938-20250331-reward-2681-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rirv938-20250331-reward-2681-v1-mkmlizer: quantized model in 85.757s
rirv938-20250331-reward-2681-v1-mkmlizer: Processed model rirv938/20250331_reward_ablation_bo1 in 114.868s
rirv938-20250331-reward-2681-v1-mkmlizer: creating bucket guanaco-mkml-models
rirv938-20250331-reward-2681-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-20250331-reward-2681-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-20250331-reward-2681-v1
rirv938-20250331-reward-2681-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-20250331-reward-2681-v1/config.json
rirv938-20250331-reward-2681-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-20250331-reward-2681-v1/special_tokens_map.json
rirv938-20250331-reward-2681-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-20250331-reward-2681-v1/tokenizer_config.json
rirv938-20250331-reward-2681-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-20250331-reward-2681-v1/tokenizer.json
rirv938-20250331-reward-2681-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-20250331-reward-2681-v1/flywheel_model.0.safetensors
rirv938-20250331-reward-2681-v1-mkmlizer:
Loading 0: 0%| | 0/291 [00:00<?, ?it/s]
Loading 0: 1%| | 3/291 [00:00<00:57, 5.03it/s]
Loading 0: 1%|▏ | 4/291 [00:01<01:32, 3.11it/s]
Loading 0: 2%|▏ | 5/291 [00:01<02:02, 2.33it/s]
Loading 0: 3%|▎ | 8/291 [00:02<01:03, 4.47it/s]
Loading 0: 3%|▎ | 9/291 [00:02<01:02, 4.54it/s]
Loading 0: 3%|▎ | 10/291 [00:02<00:54, 5.19it/s]
Loading 0: 4%|▍ | 12/291 [00:02<01:04, 4.33it/s]
Loading 0: 4%|▍ | 13/291 [00:03<01:25, 3.26it/s]
Loading 0: 5%|▍ | 14/291 [00:04<01:47, 2.58it/s]
Loading 0: 6%|▌ | 17/291 [00:04<01:01, 4.43it/s]
Loading 0: 6%|▌ | 18/291 [00:04<00:58, 4.66it/s]
Loading 0: 7%|▋ | 19/291 [00:04<00:51, 5.25it/s]
Loading 0: 7%|▋ | 21/291 [00:05<01:01, 4.36it/s]
Loading 0: 8%|▊ | 22/291 [00:05<01:22, 3.28it/s]
Loading 0: 8%|▊ | 23/291 [00:06<01:45, 2.55it/s]
Loading 0: 9%|▉ | 26/291 [00:06<01:00, 4.36it/s]
Loading 0: 9%|▉ | 27/291 [00:06<00:57, 4.59it/s]
Loading 0: 10%|▉ | 28/291 [00:06<00:51, 5.13it/s]
Loading 0: 10%|█ | 30/291 [00:07<01:00, 4.34it/s]
Loading 0: 11%|█ | 31/291 [00:08<01:19, 3.29it/s]
Loading 0: 11%|█ | 32/291 [00:08<01:39, 2.59it/s]
Loading 0: 12%|█▏ | 35/291 [00:08<00:57, 4.42it/s]
Loading 0: 12%|█▏ | 36/291 [00:09<00:54, 4.65it/s]
Loading 0: 13%|█▎ | 39/291 [00:09<00:55, 4.55it/s]
Loading 0: 14%|█▎ | 40/291 [00:10<01:10, 3.54it/s]
Loading 0: 14%|█▍ | 41/291 [00:11<01:30, 2.78it/s]
Loading 0: 15%|█▌ | 44/291 [00:11<00:55, 4.44it/s]
Loading 0: 15%|█▌ | 45/291 [00:11<00:52, 4.66it/s]
Loading 0: 16%|█▌ | 46/291 [00:11<00:47, 5.16it/s]
Loading 0: 16%|█▋ | 48/291 [00:12<00:55, 4.34it/s]
Loading 0: 17%|█▋ | 49/291 [00:12<01:13, 3.30it/s]
Loading 0: 17%|█▋ | 50/291 [00:13<01:32, 2.59it/s]
Loading 0: 18%|█▊ | 53/291 [00:13<00:54, 4.35it/s]
Loading 0: 19%|█▊ | 54/291 [00:13<00:51, 4.58it/s]
Loading 0: 19%|█▉ | 55/291 [00:13<00:46, 5.03it/s]
Loading 0: 20%|█▉ | 57/291 [00:14<00:54, 4.29it/s]
Loading 0: 20%|█▉ | 58/291 [00:15<01:11, 3.26it/s]
Loading 0: 20%|██ | 59/291 [00:15<01:31, 2.55it/s]
Loading 0: 21%|██▏ | 62/291 [00:15<00:52, 4.38it/s]
Loading 0: 22%|██▏ | 63/291 [00:16<00:49, 4.62it/s]
Loading 0: 22%|██▏ | 64/291 [00:16<00:44, 5.16it/s]
Loading 0: 23%|██▎ | 66/291 [00:16<00:51, 4.35it/s]
Loading 0: 23%|██▎ | 67/291 [00:17<01:07, 3.30it/s]
Loading 0: 23%|██▎ | 68/291 [00:17<01:25, 2.60it/s]
Loading 0: 24%|██▍ | 71/291 [00:18<00:49, 4.47it/s]
Loading 0: 25%|██▍ | 72/291 [00:18<00:46, 4.71it/s]
Loading 0: 25%|██▌ | 73/291 [00:18<00:41, 5.27it/s]
Loading 0: 26%|██▌ | 75/291 [00:19<00:49, 4.40it/s]
Loading 0: 26%|██▌ | 76/291 [00:19<01:04, 3.31it/s]
Loading 0: 26%|██▋ | 77/291 [00:20<01:22, 2.60it/s]
Loading 0: 27%|██▋ | 80/291 [00:20<00:48, 4.39it/s]
Loading 0: 28%|██▊ | 81/291 [00:20<00:45, 4.63it/s]
Loading 0: 28%|██▊ | 82/291 [00:20<00:40, 5.16it/s]
Loading 0: 29%|██▊ | 83/291 [00:20<00:40, 5.14it/s]
Loading 0: 29%|██▉ | 84/291 [00:21<01:00, 3.44it/s]
Loading 0: 29%|██▉ | 85/291 [00:22<01:15, 2.73it/s]
Loading 0: 30%|██▉ | 86/291 [00:22<01:32, 2.23it/s]
Loading 0: 31%|███ | 89/291 [00:22<00:48, 4.16it/s]
Loading 0: 31%|███ | 90/291 [00:23<00:45, 4.43it/s]
Loading 0: 31%|███▏ | 91/291 [00:23<00:39, 5.01it/s]
Loading 0: 32%|███▏ | 93/291 [00:23<00:46, 4.26it/s]
Loading 0: 32%|███▏ | 94/291 [00:24<01:01, 3.23it/s]
Loading 0: 33%|███▎ | 95/291 [00:25<01:16, 2.57it/s]
Loading 0: 34%|███▎ | 98/291 [00:25<00:43, 4.39it/s]
Loading 0: 34%|███▍ | 99/291 [00:25<00:41, 4.64it/s]
Loading 0: 34%|███▍ | 100/291 [00:25<00:36, 5.20it/s]
Loading 0: 35%|███▌ | 102/291 [00:26<00:43, 4.38it/s]
Loading 0: 35%|███▌ | 103/291 [00:26<00:57, 3.30it/s]
Loading 0: 36%|███▌ | 104/291 [00:27<01:12, 2.57it/s]
Loading 0: 37%|███▋ | 107/291 [00:27<00:41, 4.42it/s]
Loading 0: 37%|███▋ | 108/291 [00:27<00:39, 4.66it/s]
Loading 0: 37%|███▋ | 109/291 [00:27<00:35, 5.18it/s]
Loading 0: 38%|███▊ | 111/291 [00:28<00:41, 4.35it/s]
Loading 0: 38%|███▊ | 112/291 [00:28<00:54, 3.29it/s]
Loading 0: 39%|███▉ | 113/291 [00:29<01:09, 2.58it/s]
Loading 0: 40%|███▉ | 116/291 [00:29<00:39, 4.39it/s]
Loading 0: 40%|████ | 117/291 [00:29<00:37, 4.64it/s]
Loading 0: 41%|████ | 118/291 [00:30<00:33, 5.10it/s]
Loading 0: 41%|████ | 120/291 [00:30<00:39, 4.32it/s]
Loading 0: 42%|████▏ | 121/291 [00:31<00:51, 3.28it/s]
Loading 0: 42%|████▏ | 122/291 [00:31<01:05, 2.58it/s]
Loading 0: 43%|████▎ | 125/291 [00:32<00:37, 4.38it/s]
Loading 0: 43%|████▎ | 126/291 [00:32<00:35, 4.63it/s]
Loading 0: 44%|████▎ | 127/291 [00:32<00:31, 5.19it/s]
Loading 0: 44%|████▍ | 129/291 [00:32<00:37, 4.36it/s]
Loading 0: 45%|████▍ | 130/291 [00:33<00:49, 3.28it/s]
Loading 0: 45%|████▌ | 131/291 [00:34<01:01, 2.59it/s]
Loading 0: 46%|████▌ | 134/291 [00:34<00:35, 4.46it/s]
Loading 0: 46%|████▋ | 135/291 [00:34<00:33, 4.70it/s]
Loading 0: 47%|████▋ | 136/291 [00:34<00:29, 5.31it/s]
Loading 0: 47%|████▋ | 138/291 [00:35<00:34, 4.44it/s]
Loading 0: 48%|████▊ | 139/291 [00:35<00:45, 3.35it/s]
Loading 0: 48%|████▊ | 140/291 [00:36<00:57, 2.63it/s]
Loading 0: 49%|████▉ | 143/291 [00:36<00:33, 4.46it/s]
Loading 0: 49%|████▉ | 144/291 [00:36<00:31, 4.70it/s]
Loading 0: 50%|████▉ | 145/291 [00:36<00:27, 5.26it/s]
Loading 0: 51%|█████ | 147/291 [00:37<00:32, 4.40it/s]
Loading 0: 51%|█████ | 148/291 [00:38<00:43, 3.32it/s]
Loading 0: 51%|█████ | 149/291 [00:38<00:54, 2.61it/s]
Loading 0: 52%|█████▏ | 152/291 [00:38<00:30, 4.48it/s]
Loading 0: 53%|█████▎ | 153/291 [00:39<00:29, 4.73it/s]
Loading 0: 53%|█████▎ | 154/291 [00:39<00:25, 5.28it/s]
Loading 0: 54%|█████▎ | 156/291 [00:39<00:30, 4.43it/s]
Loading 0: 54%|█████▍ | 157/291 [00:40<00:40, 3.34it/s]
Loading 0: 54%|█████▍ | 158/291 [00:40<00:50, 2.63it/s]
Loading 0: 55%|█████▌ | 161/291 [00:41<00:28, 4.53it/s]
Loading 0: 56%|█████▌ | 162/291 [00:41<00:27, 4.76it/s]
Loading 0: 56%|█████▌ | 163/291 [00:41<00:23, 5.34it/s]
Loading 0: 57%|█████▋ | 165/291 [00:41<00:28, 4.45it/s]
Loading 0: 57%|█████▋ | 166/291 [00:42<00:37, 3.35it/s]
Loading 0: 57%|█████▋ | 167/291 [00:43<00:47, 2.63it/s]
Loading 0: 58%|█████▊ | 170/291 [00:43<00:27, 4.47it/s]
Loading 0: 59%|█████▉ | 171/291 [00:43<00:25, 4.71it/s]
Loading 0: 59%|█████▉ | 172/291 [00:43<00:22, 5.27it/s]
Loading 0: 59%|█████▉ | 173/291 [00:44<00:32, 3.58it/s]
Loading 0: 60%|██████ | 175/291 [00:44<00:23, 4.90it/s]
Loading 0: 60%|██████ | 176/291 [00:44<00:22, 5.10it/s]
Loading 0: 61%|██████ | 178/291 [00:44<00:15, 7.19it/s]
Loading 0: 62%|██████▏ | 180/291 [00:45<00:32, 3.41it/s]
Loading 0: 62%|██████▏ | 181/291 [00:46<00:40, 2.75it/s]
Loading 0: 63%|██████▎ | 184/291 [00:46<00:24, 4.43it/s]
Loading 0: 64%|██████▎ | 185/291 [00:46<00:22, 4.65it/s]
Loading 0: 64%|██████▍ | 186/291 [00:46<00:20, 5.19it/s]
Loading 0: 64%|██████▍ | 187/291 [00:47<00:19, 5.43it/s]
Loading 0: 65%|██████▍ | 188/291 [00:47<00:28, 3.60it/s]
Loading 0: 65%|██████▍ | 189/291 [00:48<00:37, 2.71it/s]
Loading 0: 66%|██████▌ | 192/291 [00:48<00:27, 3.64it/s]
Loading 0: 66%|██████▋ | 193/291 [00:49<00:32, 3.00it/s]
Loading 0: 67%|██████▋ | 194/291 [00:50<00:39, 2.48it/s]
Loading 0: 68%|██████▊ | 197/291 [00:50<00:22, 4.16it/s]
Loading 0: 68%|██████▊ | 198/291 [00:50<00:20, 4.43it/s]
Loading 0: 68%|██████▊ | 199/291 [00:50<00:18, 4.96it/s]
Loading 0: 69%|██████▉ | 201/291 [00:51<00:20, 4.29it/s]
Loading 0: 69%|██████▉ | 202/291 [00:51<00:27, 3.18it/s]
Loading 0: 70%|██████▉ | 203/291 [00:52<00:34, 2.56it/s]
Loading 0: 71%|███████ | 206/291 [00:52<00:19, 4.33it/s]
Loading 0: 71%|███████ | 207/291 [00:52<00:18, 4.58it/s]
Loading 0: 71%|███████▏ | 208/291 [00:52<00:16, 5.10it/s]
Loading 0: 72%|███████▏ | 210/291 [00:53<00:18, 4.36it/s]
Loading 0: 73%|███████▎ | 211/291 [00:54<00:24, 3.30it/s]
Loading 0: 73%|███████▎ | 212/291 [00:54<00:30, 2.63it/s]
Loading 0: 74%|███████▍ | 215/291 [00:54<00:16, 4.51it/s]
Loading 0: 74%|███████▍ | 216/291 [00:55<00:15, 4.74it/s]
Loading 0: 75%|███████▍ | 217/291 [00:55<00:14, 5.27it/s]
Loading 0: 75%|███████▌ | 219/291 [00:55<00:16, 4.42it/s]
Loading 0: 76%|███████▌ | 220/291 [00:56<00:21, 3.35it/s]
Loading 0: 76%|███████▌ | 221/291 [00:56<00:26, 2.64it/s]
Loading 0: 77%|███████▋ | 224/291 [00:57<00:14, 4.52it/s]
Loading 0: 77%|███████▋ | 225/291 [00:57<00:13, 4.75it/s]
Loading 0: 78%|███████▊ | 226/291 [00:57<00:12, 5.34it/s]
Loading 0: 78%|███████▊ | 228/291 [00:57<00:14, 4.42it/s]
Loading 0: 79%|███████▊ | 229/291 [00:58<00:18, 3.33it/s]
Loading 0: 79%|███████▉ | 230/291 [00:59<00:23, 2.62it/s]
Loading 0: 80%|████████ | 233/291 [00:59<00:12, 4.52it/s]
Loading 0: 80%|████████ | 234/291 [00:59<00:12, 4.75it/s]
Loading 0: 81%|████████ | 235/291 [00:59<00:10, 5.27it/s]
Loading 0: 81%|████████▏ | 237/291 [01:00<00:12, 4.41it/s]
Loading 0: 82%|████████▏ | 238/291 [01:00<00:15, 3.32it/s]
Loading 0: 82%|████████▏ | 239/291 [01:01<00:19, 2.62it/s]
Loading 0: 83%|████████▎ | 242/291 [01:01<00:10, 4.50it/s]
Loading 0: 84%|████████▎ | 243/291 [01:01<00:10, 4.74it/s]
Loading 0: 84%|████████▍ | 244/291 [01:01<00:08, 5.28it/s]
Loading 0: 85%|████████▍ | 246/291 [01:02<00:10, 4.40it/s]
Loading 0: 85%|████████▍ | 247/291 [01:03<00:13, 3.33it/s]
Loading 0: 85%|████████▌ | 248/291 [01:03<00:16, 2.61it/s]
Loading 0: 86%|████████▋ | 251/291 [01:03<00:08, 4.49it/s]
Loading 0: 87%|████████▋ | 252/291 [01:04<00:08, 4.73it/s]
Loading 0: 87%|████████▋ | 253/291 [01:04<00:07, 5.24it/s]
Loading 0: 88%|████████▊ | 255/291 [01:04<00:08, 4.40it/s]
Loading 0: 88%|████████▊ | 256/291 [01:05<00:10, 3.32it/s]
Loading 0: 88%|████████▊ | 257/291 [01:05<00:12, 2.62it/s]
Loading 0: 89%|████████▉ | 260/291 [01:06<00:06, 4.51it/s]
Loading 0: 90%|████████▉ | 261/291 [01:06<00:06, 4.76it/s]
Loading 0: 90%|█████████ | 262/291 [01:06<00:05, 5.28it/s]
Loading 0: 91%|█████████ | 264/291 [01:07<00:06, 4.40it/s]
Loading 0: 91%|█████████ | 265/291 [01:07<00:07, 3.29it/s]
Loading 0: 91%|█████████▏| 266/291 [01:08<00:09, 2.61it/s]
Loading 0: 92%|█████████▏| 269/291 [01:08<00:04, 4.45it/s]
Loading 0: 93%|█████████▎| 270/291 [01:08<00:04, 4.70it/s]
Loading 0: 93%|█████████▎| 271/291 [01:08<00:03, 5.21it/s]
Loading 0: 94%|█████████▍| 273/291 [01:09<00:04, 4.38it/s]
Loading 0: 94%|█████████▍| 274/291 [01:09<00:05, 3.32it/s]
Loading 0: 95%|█████████▍| 275/291 [01:10<00:06, 2.60it/s]
Loading 0: 96%|█████████▌| 278/291 [01:10<00:02, 4.48it/s]
Loading 0: 96%|█████████▌| 279/291 [01:10<00:02, 4.72it/s]
Loading 0: 96%|█████████▌| 280/291 [01:10<00:02, 5.21it/s]
Loading 0: 97%|█████████▋| 281/291 [01:11<00:02, 3.55it/s]
Loading 0: 97%|█████████▋| 282/291 [01:12<00:03, 2.67it/s]
Loading 0: 98%|█████████▊| 284/291 [01:12<00:01, 3.84it/s]
Loading 0: 98%|█████████▊| 285/291 [01:12<00:01, 4.20it/s]
Loading 0: 98%|█████████▊| 286/291 [01:12<00:01, 4.77it/s]
Loading 0: 99%|█████████▊| 287/291 [01:12<00:00, 4.92it/s]
Loading 0: 99%|█████████▉| 288/291 [01:13<00:00, 3.29it/s]
Job rirv938-20250331-reward-2681-v1-mkmlizer completed after 145.44s with status: succeeded
Stopping job with name rirv938-20250331-reward-2681-v1-mkmlizer
Pipeline stage MKMLizer completed in 145.95s
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 rirv938-20250331-reward-2681-v1
Waiting for inference service rirv938-20250331-reward-2681-v1 to be ready
Inference service rirv938-20250331-reward-2681-v1 ready after 110.4673855304718s
Pipeline stage MKMLDeployer completed in 110.92s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 5.427369832992554s
Received healthy response to inference request in 4.7648210525512695s
Received healthy response to inference request in 5.8135950565338135s
Received healthy response to inference request in 4.317487478256226s
5 requests
1 failed requests
5th percentile: 4.406954193115235
10th percentile: 4.496420907974243
20th percentile: 4.67535433769226
30th percentile: 4.897330808639526
40th percentile: 5.16235032081604
50th percentile: 5.427369832992554
60th percentile: 5.581859922409057
70th percentile: 5.736350011825562
80th percentile: 8.681534862518314
90th percentile: 14.417414474487305
95th percentile: 17.2853542804718
99th percentile: 19.5797061252594
mean time: 8.095313501358032
%s, retrying in %s seconds...
Received healthy response to inference request in 5.723220586776733s
Received healthy response to inference request in 5.978663921356201s
Received healthy response to inference request in 2.269484281539917s
Received healthy response to inference request in 3.570932388305664s
Received healthy response to inference request in 2.764514446258545s
5 requests
0 failed requests
5th percentile: 2.3684903144836427
10th percentile: 2.4674963474273683
20th percentile: 2.6655084133148192
30th percentile: 2.925798034667969
40th percentile: 3.2483652114868162
50th percentile: 3.570932388305664
60th percentile: 4.431847667694091
70th percentile: 5.292762947082519
80th percentile: 5.774309253692627
90th percentile: 5.876486587524414
95th percentile: 5.927575254440308
99th percentile: 5.968446187973022
mean time: 4.0613631248474125
%s, retrying in %s seconds...
Received healthy response to inference request in 3.1776070594787598s
Received healthy response to inference request in 3.1785597801208496s
Received healthy response to inference request in 2.519085645675659s
Received healthy response to inference request in 3.301755428314209s
Received healthy response to inference request in 3.6879405975341797s
5 requests
0 failed requests
5th percentile: 2.6507899284362795
10th percentile: 2.7824942111968993
20th percentile: 3.0459027767181395
30th percentile: 3.1777976036071776
40th percentile: 3.1781786918640136
50th percentile: 3.1785597801208496
60th percentile: 3.2278380393981934
70th percentile: 3.277116298675537
80th percentile: 3.378992462158203
90th percentile: 3.5334665298461916
95th percentile: 3.6107035636901856
99th percentile: 3.672493190765381
mean time: 3.1729897022247315
Pipeline stage StressChecker completed in 80.69s
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 0.69s
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 0.66s
Shutdown handler de-registered
rirv938-20250331-reward-_2681_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 0.16s
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 rirv938-20250331-reward-2681-v1-profiler
Waiting for inference service rirv938-20250331-reward-2681-v1-profiler to be ready
Inference service rirv938-20250331-reward-2681-v1-profiler ready after 120.53380632400513s
Pipeline stage MKMLProfilerDeployer completed in 120.99s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-20250331-rewcb3f6bac5f2ff4cd086e9dfcbdfdb47d-deplo6zx4x:/code/chaiverse_profiler_1743448903 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-20250331-rewcb3f6bac5f2ff4cd086e9dfcbdfdb47d-deplo6zx4x --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743448903 && 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 512 --output_tokens 1 --summary /code/chaiverse_profiler_1743448903/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-2681-v1-profiler is running
Tearing down inference service rirv938-20250331-reward-2681-v1-profiler
Service rirv938-20250331-reward-2681-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.58s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-2681-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.52s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service rirv938-20250331-reward-2681-v1-profiler
Waiting for inference service rirv938-20250331-reward-2681-v1-profiler to be ready
Inference service rirv938-20250331-reward-2681-v1-profiler ready after 70.29600262641907s
Pipeline stage MKMLProfilerDeployer completed in 70.64s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-20250331-rewcb3f6bac5f2ff4cd086e9dfcbdfdb47d-deplohv8kj:/code/chaiverse_profiler_1743452474 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-20250331-rewcb3f6bac5f2ff4cd086e9dfcbdfdb47d-deplohv8kj --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743452474 && 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 512 --output_tokens 1 --summary /code/chaiverse_profiler_1743452474/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-2681-v1-profiler is running
Tearing down inference service rirv938-20250331-reward-2681-v1-profiler
Service rirv938-20250331-reward-2681-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.36s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-2681-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.46s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service rirv938-20250331-reward-2681-v1-profiler
Waiting for inference service rirv938-20250331-reward-2681-v1-profiler to be ready
Inference service rirv938-20250331-reward-2681-v1-profiler ready after 70.32987785339355s
Pipeline stage MKMLProfilerDeployer completed in 70.69s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-20250331-rewcb3f6bac5f2ff4cd086e9dfcbdfdb47d-deploc9728:/code/chaiverse_profiler_1743456094 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-20250331-rewcb3f6bac5f2ff4cd086e9dfcbdfdb47d-deploc9728 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743456094 && 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 512 --output_tokens 1 --summary /code/chaiverse_profiler_1743456094/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-2681-v1-profiler is running
Tearing down inference service rirv938-20250331-reward-2681-v1-profiler
Service rirv938-20250331-reward-2681-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.47s
Shutdown handler de-registered
rirv938-20250331-reward-_2681_v1 status is now inactive due to auto deactivation removed underperforming models