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-96848-v4-mkmlizer
Waiting for job on rirv938-20250331-reward-96848-v4-mkmlizer to finish
rirv938-20250331-reward-96848-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-20250331-reward-96848-v4-mkmlizer: ║ _____ __ __ ║
rirv938-20250331-reward-96848-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rirv938-20250331-reward-96848-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rirv938-20250331-reward-96848-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rirv938-20250331-reward-96848-v4-mkmlizer: ║ /___/ ║
rirv938-20250331-reward-96848-v4-mkmlizer: ║ ║
rirv938-20250331-reward-96848-v4-mkmlizer: ║ Version: 0.12.8 ║
rirv938-20250331-reward-96848-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rirv938-20250331-reward-96848-v4-mkmlizer: ║ https://mk1.ai ║
rirv938-20250331-reward-96848-v4-mkmlizer: ║ ║
rirv938-20250331-reward-96848-v4-mkmlizer: ║ The license key for the current software has been verified as ║
rirv938-20250331-reward-96848-v4-mkmlizer: ║ belonging to: ║
rirv938-20250331-reward-96848-v4-mkmlizer: ║ ║
rirv938-20250331-reward-96848-v4-mkmlizer: ║ Chai Research Corp. ║
rirv938-20250331-reward-96848-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rirv938-20250331-reward-96848-v4-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
rirv938-20250331-reward-96848-v4-mkmlizer: ║ ║
rirv938-20250331-reward-96848-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-20250331-reward-96848-v4-mkmlizer: Downloaded to shared memory in 24.287s
rirv938-20250331-reward-96848-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpsd3xs0a1, device:0
rirv938-20250331-reward-96848-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rirv938-20250331-reward-96848-v4-mkmlizer: quantized model in 84.187s
rirv938-20250331-reward-96848-v4-mkmlizer: Processed model rirv938/20250331_reward_ablation_bon in 108.474s
rirv938-20250331-reward-96848-v4-mkmlizer: creating bucket guanaco-mkml-models
rirv938-20250331-reward-96848-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-20250331-reward-96848-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-20250331-reward-96848-v4
rirv938-20250331-reward-96848-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-20250331-reward-96848-v4/config.json
rirv938-20250331-reward-96848-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-20250331-reward-96848-v4/special_tokens_map.json
rirv938-20250331-reward-96848-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-20250331-reward-96848-v4/tokenizer_config.json
rirv938-20250331-reward-96848-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-20250331-reward-96848-v4/tokenizer.json
rirv938-20250331-reward-96848-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-20250331-reward-96848-v4/flywheel_model.0.safetensors
rirv938-20250331-reward-96848-v4-mkmlizer:
Loading 0: 0%| | 0/291 [00:00<?, ?it/s]
Loading 0: 1%| | 3/291 [00:00<00:55, 5.18it/s]
Loading 0: 1%|▏ | 4/291 [00:01<01:30, 3.18it/s]
Loading 0: 2%|▏ | 5/291 [00:01<02:01, 2.35it/s]
Loading 0: 3%|▎ | 8/291 [00:02<01:03, 4.49it/s]
Loading 0: 3%|▎ | 9/291 [00:02<01:01, 4.56it/s]
Loading 0: 3%|▎ | 10/291 [00:02<00:54, 5.19it/s]
Loading 0: 4%|▍ | 12/291 [00:02<01:04, 4.34it/s]
Loading 0: 4%|▍ | 13/291 [00:03<01:26, 3.23it/s]
Loading 0: 5%|▍ | 14/291 [00:04<01:47, 2.57it/s]
Loading 0: 6%|▌ | 17/291 [00:04<01:02, 4.41it/s]
Loading 0: 6%|▌ | 18/291 [00:04<00:58, 4.65it/s]
Loading 0: 7%|▋ | 19/291 [00:04<00:52, 5.19it/s]
Loading 0: 7%|▋ | 21/291 [00:05<01:01, 4.36it/s]
Loading 0: 8%|▊ | 22/291 [00:05<01:21, 3.30it/s]
Loading 0: 8%|▊ | 23/291 [00:06<01:43, 2.59it/s]
Loading 0: 9%|▉ | 26/291 [00:06<01:00, 4.40it/s]
Loading 0: 9%|▉ | 27/291 [00:06<00:56, 4.65it/s]
Loading 0: 10%|▉ | 28/291 [00:06<00:50, 5.26it/s]
Loading 0: 10%|█ | 30/291 [00:07<00:59, 4.40it/s]
Loading 0: 11%|█ | 31/291 [00:08<01:18, 3.33it/s]
Loading 0: 11%|█ | 32/291 [00:08<01:38, 2.62it/s]
Loading 0: 12%|█▏ | 35/291 [00:08<00:57, 4.41it/s]
Loading 0: 12%|█▏ | 36/291 [00:09<00:54, 4.65it/s]
Loading 0: 13%|█▎ | 37/291 [00:09<00:48, 5.24it/s]
Loading 0: 13%|█▎ | 39/291 [00:09<00:57, 4.39it/s]
Loading 0: 14%|█▎ | 40/291 [00:10<01:15, 3.31it/s]
Loading 0: 14%|█▍ | 41/291 [00:10<01:36, 2.59it/s]
Loading 0: 15%|█▌ | 44/291 [00:11<00:55, 4.41it/s]
Loading 0: 15%|█▌ | 45/291 [00:11<00:52, 4.66it/s]
Loading 0: 16%|█▌ | 46/291 [00:11<00:46, 5.26it/s]
Loading 0: 16%|█▋ | 48/291 [00:12<00:54, 4.42it/s]
Loading 0: 17%|█▋ | 49/291 [00:12<01:12, 3.34it/s]
Loading 0: 17%|█▋ | 50/291 [00:13<01:31, 2.64it/s]
Loading 0: 18%|█▊ | 53/291 [00:13<00:52, 4.52it/s]
Loading 0: 19%|█▊ | 54/291 [00:13<00:49, 4.76it/s]
Loading 0: 19%|█▉ | 55/291 [00:13<00:44, 5.34it/s]
Loading 0: 20%|█▉ | 57/291 [00:14<00:52, 4.44it/s]
Loading 0: 20%|█▉ | 58/291 [00:14<01:09, 3.35it/s]
Loading 0: 20%|██ | 59/291 [00:15<01:29, 2.60it/s]
Loading 0: 21%|██▏ | 62/291 [00:15<00:51, 4.48it/s]
Loading 0: 22%|██▏ | 63/291 [00:15<00:48, 4.72it/s]
Loading 0: 22%|██▏ | 64/291 [00:15<00:42, 5.31it/s]
Loading 0: 23%|██▎ | 66/291 [00:16<00:50, 4.44it/s]
Loading 0: 23%|██▎ | 67/291 [00:17<01:06, 3.35it/s]
Loading 0: 23%|██▎ | 68/291 [00:17<01:24, 2.65it/s]
Loading 0: 24%|██▍ | 71/291 [00:17<00:49, 4.48it/s]
Loading 0: 25%|██▍ | 72/291 [00:18<00:46, 4.71it/s]
Loading 0: 25%|██▌ | 73/291 [00:18<00:41, 5.31it/s]
Loading 0: 26%|██▌ | 75/291 [00:18<00:48, 4.44it/s]
Loading 0: 26%|██▌ | 76/291 [00:19<01:04, 3.34it/s]
Loading 0: 26%|██▋ | 77/291 [00:20<01:21, 2.62it/s]
Loading 0: 27%|██▋ | 80/291 [00:20<00:47, 4.44it/s]
Loading 0: 28%|██▊ | 81/291 [00:20<00:45, 4.67it/s]
Loading 0: 28%|██▊ | 82/291 [00:20<00:40, 5.11it/s]
Loading 0: 29%|██▊ | 83/291 [00:20<00:40, 5.07it/s]
Loading 0: 29%|██▉ | 84/291 [00:21<01:00, 3.45it/s]
Loading 0: 29%|██▉ | 85/291 [00:21<01:14, 2.76it/s]
Loading 0: 30%|██▉ | 86/291 [00:22<01:29, 2.29it/s]
Loading 0: 31%|███ | 89/291 [00:22<00:47, 4.25it/s]
Loading 0: 31%|███ | 90/291 [00:22<00:44, 4.53it/s]
Loading 0: 31%|███▏ | 91/291 [00:22<00:38, 5.17it/s]
Loading 0: 32%|███▏ | 93/291 [00:23<00:45, 4.37it/s]
Loading 0: 32%|███▏ | 94/291 [00:24<00:59, 3.30it/s]
Loading 0: 33%|███▎ | 95/291 [00:24<01:15, 2.60it/s]
Loading 0: 34%|███▎ | 98/291 [00:24<00:42, 4.52it/s]
Loading 0: 34%|███▍ | 99/291 [00:25<00:40, 4.75it/s]
Loading 0: 34%|███▍ | 100/291 [00:25<00:35, 5.35it/s]
Loading 0: 35%|███▌ | 102/291 [00:25<00:42, 4.46it/s]
Loading 0: 35%|███▌ | 103/291 [00:26<00:55, 3.36it/s]
Loading 0: 36%|███▌ | 104/291 [00:26<01:11, 2.63it/s]
Loading 0: 37%|███▋ | 107/291 [00:27<00:41, 4.46it/s]
Loading 0: 37%|███▋ | 108/291 [00:27<00:38, 4.70it/s]
Loading 0: 37%|███▋ | 109/291 [00:27<00:34, 5.23it/s]
Loading 0: 38%|███▊ | 111/291 [00:28<00:40, 4.40it/s]
Loading 0: 38%|███▊ | 112/291 [00:28<00:53, 3.33it/s]
Loading 0: 39%|███▉ | 113/291 [00:29<01:07, 2.65it/s]
Loading 0: 40%|███▉ | 116/291 [00:29<00:38, 4.49it/s]
Loading 0: 40%|████ | 117/291 [00:29<00:36, 4.73it/s]
Loading 0: 41%|████ | 118/291 [00:29<00:32, 5.25it/s]
Loading 0: 41%|████ | 120/291 [00:30<00:38, 4.41it/s]
Loading 0: 42%|████▏ | 121/291 [00:30<00:50, 3.34it/s]
Loading 0: 42%|████▏ | 122/291 [00:31<01:04, 2.64it/s]
Loading 0: 43%|████▎ | 125/291 [00:31<00:37, 4.47it/s]
Loading 0: 43%|████▎ | 126/291 [00:31<00:35, 4.71it/s]
Loading 0: 44%|████▎ | 127/291 [00:31<00:30, 5.30it/s]
Loading 0: 44%|████▍ | 129/291 [00:32<00:36, 4.45it/s]
Loading 0: 45%|████▍ | 130/291 [00:33<00:48, 3.35it/s]
Loading 0: 45%|████▌ | 131/291 [00:33<01:00, 2.64it/s]
Loading 0: 46%|████▌ | 134/291 [00:33<00:35, 4.48it/s]
Loading 0: 46%|████▋ | 135/291 [00:34<00:33, 4.72it/s]
Loading 0: 47%|████▋ | 136/291 [00:34<00:29, 5.32it/s]
Loading 0: 47%|████▋ | 138/291 [00:34<00:34, 4.46it/s]
Loading 0: 48%|████▊ | 139/291 [00:35<00:45, 3.36it/s]
Loading 0: 48%|████▊ | 140/291 [00:35<00:57, 2.65it/s]
Loading 0: 49%|████▉ | 143/291 [00:36<00:33, 4.48it/s]
Loading 0: 49%|████▉ | 144/291 [00:36<00:31, 4.73it/s]
Loading 0: 50%|████▉ | 145/291 [00:36<00:27, 5.28it/s]
Loading 0: 51%|█████ | 147/291 [00:37<00:32, 4.44it/s]
Loading 0: 51%|█████ | 148/291 [00:37<00:42, 3.35it/s]
Loading 0: 51%|█████ | 149/291 [00:38<00:53, 2.65it/s]
Loading 0: 52%|█████▏ | 152/291 [00:38<00:30, 4.54it/s]
Loading 0: 53%|█████▎ | 153/291 [00:38<00:28, 4.77it/s]
Loading 0: 53%|█████▎ | 154/291 [00:38<00:25, 5.36it/s]
Loading 0: 54%|█████▎ | 156/291 [00:39<00:30, 4.44it/s]
Loading 0: 54%|█████▍ | 157/291 [00:39<00:39, 3.36it/s]
Loading 0: 54%|█████▍ | 158/291 [00:40<00:50, 2.62it/s]
Loading 0: 55%|█████▌ | 161/291 [00:40<00:28, 4.51it/s]
Loading 0: 56%|█████▌ | 162/291 [00:40<00:27, 4.74it/s]
Loading 0: 56%|█████▌ | 163/291 [00:40<00:24, 5.33it/s]
Loading 0: 57%|█████▋ | 165/291 [00:41<00:28, 4.46it/s]
Loading 0: 57%|█████▋ | 166/291 [00:42<00:37, 3.36it/s]
Loading 0: 57%|█████▋ | 167/291 [00:42<00:46, 2.65it/s]
Loading 0: 58%|█████▊ | 170/291 [00:42<00:26, 4.56it/s]
Loading 0: 59%|█████▉ | 171/291 [00:43<00:24, 4.81it/s]
Loading 0: 59%|█████▉ | 172/291 [00:43<00:22, 5.38it/s]
Loading 0: 59%|█████▉ | 173/291 [00:43<00:32, 3.64it/s]
Loading 0: 60%|██████ | 175/291 [00:43<00:23, 4.98it/s]
Loading 0: 60%|██████ | 176/291 [00:44<00:22, 5.21it/s]
Loading 0: 61%|██████ | 177/291 [00:44<00:19, 5.88it/s]
Loading 0: 62%|██████▏ | 179/291 [00:44<00:24, 4.64it/s]
Loading 0: 62%|██████▏ | 180/291 [00:45<00:32, 3.40it/s]
Loading 0: 62%|██████▏ | 181/291 [00:45<00:41, 2.65it/s]
Loading 0: 63%|██████▎ | 184/291 [00:46<00:23, 4.63it/s]
Loading 0: 64%|██████▎ | 185/291 [00:46<00:21, 4.87it/s]
Loading 0: 64%|██████▍ | 186/291 [00:46<00:19, 5.40it/s]
Loading 0: 64%|██████▍ | 187/291 [00:46<00:18, 5.52it/s]
Loading 0: 65%|██████▍ | 188/291 [00:47<00:28, 3.61it/s]
Loading 0: 65%|██████▍ | 189/291 [00:47<00:37, 2.71it/s]
Loading 0: 66%|██████▌ | 192/291 [00:48<00:26, 3.67it/s]
Loading 0: 66%|██████▋ | 193/291 [00:48<00:32, 3.00it/s]
Loading 0: 67%|██████▋ | 194/291 [00:49<00:38, 2.50it/s]
Loading 0: 68%|██████▊ | 197/291 [00:49<00:21, 4.27it/s]
Loading 0: 68%|██████▊ | 198/291 [00:49<00:20, 4.54it/s]
Loading 0: 69%|██████▊ | 200/291 [00:49<00:14, 6.23it/s]
Loading 0: 69%|██████▉ | 202/291 [00:51<00:26, 3.37it/s]
Loading 0: 70%|██████▉ | 203/291 [00:51<00:31, 2.77it/s]
Loading 0: 71%|███████ | 206/291 [00:51<00:19, 4.38it/s]
Loading 0: 71%|███████ | 207/291 [00:52<00:18, 4.62it/s]
Loading 0: 71%|███████▏ | 208/291 [00:52<00:16, 5.15it/s]
Loading 0: 72%|███████▏ | 210/291 [00:52<00:18, 4.42it/s]
Loading 0: 73%|███████▎ | 211/291 [00:53<00:23, 3.38it/s]
Loading 0: 73%|███████▎ | 212/291 [00:53<00:29, 2.69it/s]
Loading 0: 74%|███████▍ | 215/291 [00:54<00:16, 4.50it/s]
Loading 0: 74%|███████▍ | 216/291 [00:54<00:15, 4.74it/s]
Loading 0: 75%|███████▍ | 217/291 [00:54<00:13, 5.32it/s]
Loading 0: 75%|███████▌ | 219/291 [00:54<00:16, 4.47it/s]
Loading 0: 76%|███████▌ | 220/291 [00:55<00:21, 3.38it/s]
Loading 0: 76%|███████▌ | 221/291 [00:56<00:26, 2.67it/s]
Loading 0: 77%|███████▋ | 224/291 [00:56<00:14, 4.52it/s]
Loading 0: 77%|███████▋ | 225/291 [00:56<00:13, 4.75it/s]
Loading 0: 78%|███████▊ | 226/291 [00:56<00:12, 5.25it/s]
Loading 0: 78%|███████▊ | 228/291 [00:57<00:14, 4.43it/s]
Loading 0: 79%|███████▊ | 229/291 [00:57<00:18, 3.36it/s]
Loading 0: 79%|███████▉ | 230/291 [00:58<00:22, 2.68it/s]
Loading 0: 80%|████████ | 233/291 [00:58<00:12, 4.54it/s]
Loading 0: 80%|████████ | 234/291 [00:58<00:11, 4.79it/s]
Loading 0: 81%|████████ | 235/291 [00:58<00:10, 5.37it/s]
Loading 0: 81%|████████▏ | 237/291 [00:59<00:12, 4.48it/s]
Loading 0: 82%|████████▏ | 238/291 [00:59<00:15, 3.38it/s]
Loading 0: 82%|████████▏ | 239/291 [01:00<00:19, 2.66it/s]
Loading 0: 83%|████████▎ | 242/291 [01:00<00:10, 4.57it/s]
Loading 0: 84%|████████▎ | 243/291 [01:00<00:09, 4.81it/s]
Loading 0: 84%|████████▍ | 244/291 [01:01<00:08, 5.37it/s]
Loading 0: 85%|████████▍ | 246/291 [01:01<00:10, 4.48it/s]
Loading 0: 85%|████████▍ | 247/291 [01:02<00:13, 3.36it/s]
Loading 0: 85%|████████▌ | 248/291 [01:02<00:16, 2.67it/s]
Loading 0: 86%|████████▋ | 251/291 [01:03<00:08, 4.58it/s]
Loading 0: 87%|████████▋ | 252/291 [01:03<00:08, 4.82it/s]
Loading 0: 87%|████████▋ | 253/291 [01:03<00:07, 5.42it/s]
Loading 0: 88%|████████▊ | 255/291 [01:03<00:07, 4.50it/s]
Loading 0: 88%|████████▊ | 256/291 [01:04<00:10, 3.39it/s]
Loading 0: 88%|████████▊ | 257/291 [01:05<00:12, 2.68it/s]
Loading 0: 89%|████████▉ | 260/291 [01:05<00:06, 4.61it/s]
Loading 0: 90%|████████▉ | 261/291 [01:05<00:06, 4.85it/s]
Loading 0: 90%|█████████ | 262/291 [01:05<00:05, 5.43it/s]
Loading 0: 91%|█████████ | 264/291 [01:06<00:05, 4.51it/s]
Loading 0: 91%|█████████ | 265/291 [01:06<00:07, 3.40it/s]
Loading 0: 91%|█████████▏| 266/291 [01:07<00:09, 2.70it/s]
Loading 0: 92%|█████████▏| 269/291 [01:07<00:04, 4.61it/s]
Loading 0: 93%|█████████▎| 270/291 [01:07<00:04, 4.84it/s]
Loading 0: 93%|█████████▎| 271/291 [01:07<00:03, 5.45it/s]
Loading 0: 94%|█████████▍| 273/291 [01:08<00:03, 4.51it/s]
Loading 0: 94%|█████████▍| 274/291 [01:08<00:04, 3.40it/s]
Loading 0: 95%|█████████▍| 275/291 [01:09<00:05, 2.69it/s]
Loading 0: 96%|█████████▌| 278/291 [01:09<00:02, 4.57it/s]
Loading 0: 96%|█████████▌| 279/291 [01:09<00:02, 4.81it/s]
Loading 0: 96%|█████████▌| 280/291 [01:09<00:02, 5.39it/s]
Loading 0: 97%|█████████▋| 281/291 [01:10<00:02, 3.64it/s]
Loading 0: 97%|█████████▋| 282/291 [01:11<00:03, 2.75it/s]
Loading 0: 98%|█████████▊| 284/291 [01:11<00:01, 3.94it/s]
Loading 0: 98%|█████████▊| 285/291 [01:11<00:01, 4.30it/s]
Loading 0: 98%|█████████▊| 286/291 [01:11<00:01, 4.90it/s]
Loading 0: 99%|█████████▊| 287/291 [01:11<00:00, 5.15it/s]
Loading 0: 99%|█████████▉| 288/291 [01:12<00:00, 3.40it/s]
Job rirv938-20250331-reward-96848-v4-mkmlizer completed after 136.49s with status: succeeded
Stopping job with name rirv938-20250331-reward-96848-v4-mkmlizer
Pipeline stage MKMLizer completed in 137.11s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service rirv938-20250331-reward-96848-v4
Waiting for inference service rirv938-20250331-reward-96848-v4 to be ready
Inference service rirv938-20250331-reward-96848-v4 ready after 110.40777134895325s
Pipeline stage MKMLDeployer completed in 110.99s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.7569901943206787s
Received healthy response to inference request in 3.107348680496216s
Received healthy response to inference request in 2.7140417098999023s
Received healthy response to inference request in 3.6113579273223877s
Received healthy response to inference request in 3.291133165359497s
5 requests
0 failed requests
5th percentile: 2.792703104019165
10th percentile: 2.8713644981384276
20th percentile: 3.028687286376953
30th percentile: 3.144105577468872
40th percentile: 3.2176193714141847
50th percentile: 3.291133165359497
60th percentile: 3.4192230701446533
70th percentile: 3.5473129749298096
80th percentile: 3.6404843807220457
90th percentile: 3.698737287521362
95th percentile: 3.7278637409210207
99th percentile: 3.7511649036407473
mean time: 3.296174335479736
Pipeline stage StressChecker completed in 18.95s
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 1.05s
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 1.02s
Shutdown handler de-registered
rirv938-20250331-reward_96848_v4 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
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 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service rirv938-20250331-reward-96848-v4-profiler
Waiting for inference service rirv938-20250331-reward-96848-v4-profiler to be ready
Inference service rirv938-20250331-reward-96848-v4-profiler ready after 110.45715737342834s
Pipeline stage MKMLProfilerDeployer completed in 110.90s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-20250331-rew4cc585eec75cc5fb9435fcef223b76ad-deplovqtv4:/code/chaiverse_profiler_1743461121 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-20250331-rew4cc585eec75cc5fb9435fcef223b76ad-deplovqtv4 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743461121 && 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 256 --output_tokens 1 --summary /code/chaiverse_profiler_1743461121/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-96848-v4-profiler is running
Tearing down inference service rirv938-20250331-reward-96848-v4-profiler
Service rirv938-20250331-reward-96848-v4-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.49s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-96848-v4-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.48s
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-96848-v4-profiler
Waiting for inference service rirv938-20250331-reward-96848-v4-profiler to be ready
Inference service rirv938-20250331-reward-96848-v4-profiler ready after 120.46988701820374s
Pipeline stage MKMLProfilerDeployer completed in 120.80s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-20250331-rew4cc585eec75cc5fb9435fcef223b76ad-deplozr7p7:/code/chaiverse_profiler_1743464752 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-20250331-rew4cc585eec75cc5fb9435fcef223b76ad-deplozr7p7 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743464752 && 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 256 --output_tokens 1 --summary /code/chaiverse_profiler_1743464752/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-96848-v4-profiler is running
Tearing down inference service rirv938-20250331-reward-96848-v4-profiler
Service rirv938-20250331-reward-96848-v4-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.32s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-96848-v4-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.49s
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-96848-v4-profiler
Waiting for inference service rirv938-20250331-reward-96848-v4-profiler to be ready
Inference service rirv938-20250331-reward-96848-v4-profiler ready after 40.18720316886902s
Pipeline stage MKMLProfilerDeployer completed in 40.55s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-20250331-rew4cc585eec75cc5fb9435fcef223b76ad-deploqhn62:/code/chaiverse_profiler_1743468295 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-20250331-rew4cc585eec75cc5fb9435fcef223b76ad-deploqhn62 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743468295 && 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 256 --output_tokens 1 --summary /code/chaiverse_profiler_1743468295/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-96848-v4-profiler is running
Tearing down inference service rirv938-20250331-reward-96848-v4-profiler
Service rirv938-20250331-reward-96848-v4-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.46s
Shutdown handler de-registered
rirv938-20250331-reward_96848_v4 status is now inactive due to auto deactivation removed underperforming models