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 alexdaoud-trainer-bagir-6009-v2-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-6009-v2-mkmlizer to finish
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ║ _____ __ __ ║
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ║ /___/ ║
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ║ Version: 0.11.12 ║
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ║ https://mk1.ai ║
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ║ The license key for the current software has been verified as ║
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ║ belonging to: ║
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ║ Chai Research Corp. ║
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-6009-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-6009-v2-mkmlizer: Downloaded to shared memory in 29.774s
alexdaoud-trainer-bagir-6009-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpm142jnj3, device:0
alexdaoud-trainer-bagir-6009-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
alexdaoud-trainer-bagir-6009-v2-mkmlizer: quantized model in 84.408s
alexdaoud-trainer-bagir-6009-v2-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-19 in 114.182s
alexdaoud-trainer-bagir-6009-v2-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-6009-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6009-v2/config.json
alexdaoud-trainer-bagir-6009-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6009-v2/special_tokens_map.json
alexdaoud-trainer-bagir-6009-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6009-v2/tokenizer_config.json
alexdaoud-trainer-bagir-6009-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6009-v2/tokenizer.json
alexdaoud-trainer-bagir-6009-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6009-v2/flywheel_model.0.safetensors
alexdaoud-trainer-bagir-6009-v2-mkmlizer:
Loading 0: 0%| | 0/291 [00:00<?, ?it/s]
Loading 0: 1%| | 3/291 [00:00<00:55, 5.17it/s]
Loading 0: 1%|▏ | 4/291 [00:01<01:30, 3.19it/s]
Loading 0: 2%|▏ | 5/291 [00:01<02:00, 2.37it/s]
Loading 0: 3%|▎ | 8/291 [00:02<01:02, 4.54it/s]
Loading 0: 3%|▎ | 9/291 [00:02<01:01, 4.59it/s]
Loading 0: 3%|▎ | 10/291 [00:02<00:53, 5.21it/s]
Loading 0: 4%|▍ | 12/291 [00:02<01:04, 4.34it/s]
Loading 0: 4%|▍ | 13/291 [00:03<01:25, 3.25it/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%|▋ | 21/291 [00:05<00:59, 4.56it/s]
Loading 0: 8%|▊ | 22/291 [00:05<01:15, 3.55it/s]
Loading 0: 8%|▊ | 23/291 [00:06<01:35, 2.82it/s]
Loading 0: 9%|▉ | 26/291 [00:06<00:58, 4.53it/s]
Loading 0: 9%|▉ | 27/291 [00:06<00:55, 4.75it/s]
Loading 0: 10%|█ | 30/291 [00:07<00:56, 4.61it/s]
Loading 0: 11%|█ | 31/291 [00:08<01:12, 3.60it/s]
Loading 0: 11%|█ | 32/291 [00:08<01:32, 2.80it/s]
Loading 0: 12%|█▏ | 35/291 [00:08<00:57, 4.45it/s]
Loading 0: 12%|█▏ | 36/291 [00:09<00:54, 4.68it/s]
Loading 0: 13%|█▎ | 37/291 [00:09<00:48, 5.23it/s]
Loading 0: 13%|█▎ | 39/291 [00:09<00:58, 4.33it/s]
Loading 0: 14%|█▎ | 40/291 [00:10<01:15, 3.31it/s]
Loading 0: 14%|█▍ | 41/291 [00:10<01:35, 2.60it/s]
Loading 0: 15%|█▌ | 44/291 [00:11<00:56, 4.40it/s]
Loading 0: 15%|█▌ | 45/291 [00:11<00:53, 4.64it/s]
Loading 0: 16%|█▌ | 46/291 [00:11<00:46, 5.22it/s]
Loading 0: 16%|█▋ | 48/291 [00:12<00:55, 4.40it/s]
Loading 0: 17%|█▋ | 49/291 [00:12<01:12, 3.32it/s]
Loading 0: 17%|█▋ | 50/291 [00:13<01:32, 2.61it/s]
Loading 0: 18%|█▊ | 53/291 [00:13<00:53, 4.43it/s]
Loading 0: 19%|█▊ | 54/291 [00:13<00:50, 4.67it/s]
Loading 0: 19%|█▉ | 55/291 [00:13<00:44, 5.28it/s]
Loading 0: 20%|█▉ | 57/291 [00:14<00:53, 4.41it/s]
Loading 0: 20%|█▉ | 58/291 [00:14<01:10, 3.33it/s]
Loading 0: 20%|██ | 59/291 [00:15<01:28, 2.61it/s]
Loading 0: 21%|██▏ | 62/291 [00:15<00:51, 4.43it/s]
Loading 0: 22%|██▏ | 63/291 [00:15<00:48, 4.68it/s]
Loading 0: 22%|██▏ | 64/291 [00:15<00:43, 5.24it/s]
Loading 0: 23%|██▎ | 66/291 [00:16<00:51, 4.38it/s]
Loading 0: 23%|██▎ | 67/291 [00:17<01:07, 3.31it/s]
Loading 0: 23%|██▎ | 68/291 [00:17<01:25, 2.59it/s]
Loading 0: 24%|██▍ | 71/291 [00:17<00:49, 4.46it/s]
Loading 0: 25%|██▍ | 72/291 [00:18<00:46, 4.67it/s]
Loading 0: 25%|██▌ | 73/291 [00:18<00:41, 5.26it/s]
Loading 0: 26%|██▌ | 75/291 [00:18<00:49, 4.39it/s]
Loading 0: 26%|██▌ | 76/291 [00:19<01:05, 3.29it/s]
Loading 0: 26%|██▋ | 77/291 [00:20<01:23, 2.57it/s]
Loading 0: 27%|██▋ | 80/291 [00:20<00:48, 4.34it/s]
Loading 0: 28%|██▊ | 81/291 [00:20<00:46, 4.56it/s]
Loading 0: 28%|██▊ | 82/291 [00:20<00:40, 5.13it/s]
Loading 0: 29%|██▊ | 83/291 [00:20<00:39, 5.33it/s]
Loading 0: 29%|██▉ | 84/291 [00:21<00:58, 3.53it/s]
Loading 0: 29%|██▉ | 85/291 [00:21<01:13, 2.79it/s]
Loading 0: 30%|██▉ | 86/291 [00:22<01:29, 2.29it/s]
Loading 0: 31%|███ | 89/291 [00:22<00:47, 4.26it/s]
Loading 0: 31%|███ | 90/291 [00:22<00:44, 4.54it/s]
Loading 0: 31%|███▏ | 91/291 [00:23<00:39, 5.08it/s]
Loading 0: 32%|███▏ | 93/291 [00:23<00:46, 4.29it/s]
Loading 0: 32%|███▏ | 94/291 [00:24<01:00, 3.25it/s]
Loading 0: 33%|███▎ | 95/291 [00:24<01:15, 2.60it/s]
Loading 0: 34%|███▎ | 98/291 [00:24<00:42, 4.49it/s]
Loading 0: 34%|███▍ | 99/291 [00:25<00:40, 4.73it/s]
Loading 0: 34%|███▍ | 100/291 [00:25<00:36, 5.29it/s]
Loading 0: 35%|███▌ | 102/291 [00:25<00:42, 4.41it/s]
Loading 0: 35%|███▌ | 103/291 [00:26<00:56, 3.33it/s]
Loading 0: 36%|███▌ | 104/291 [00:27<01:10, 2.64it/s]
Loading 0: 37%|███▋ | 107/291 [00:27<00:40, 4.54it/s]
Loading 0: 37%|███▋ | 108/291 [00:27<00:38, 4.78it/s]
Loading 0: 37%|███▋ | 109/291 [00:27<00:33, 5.37it/s]
Loading 0: 38%|███▊ | 111/291 [00:28<00:40, 4.46it/s]
Loading 0: 38%|███▊ | 112/291 [00:28<00:53, 3.34it/s]
Loading 0: 39%|███▉ | 113/291 [00:29<01:07, 2.64it/s]
Loading 0: 40%|███▉ | 116/291 [00:29<00:38, 4.53it/s]
Loading 0: 40%|████ | 117/291 [00:29<00:36, 4.77it/s]
Loading 0: 41%|████ | 118/291 [00:29<00:32, 5.37it/s]
Loading 0: 41%|████ | 120/291 [00:30<00:38, 4.43it/s]
Loading 0: 42%|████▏ | 121/291 [00:30<00:51, 3.32it/s]
Loading 0: 42%|████▏ | 122/291 [00:31<01:04, 2.62it/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 [00:32<00:31, 5.27it/s]
Loading 0: 44%|████▍ | 129/291 [00:32<00:36, 4.42it/s]
Loading 0: 45%|████▍ | 130/291 [00:33<00:48, 3.33it/s]
Loading 0: 45%|████▌ | 131/291 [00:33<01:00, 2.64it/s]
Loading 0: 46%|████▌ | 134/291 [00:33<00:34, 4.54it/s]
Loading 0: 46%|████▋ | 135/291 [00:34<00:32, 4.78it/s]
Loading 0: 47%|████▋ | 137/291 [00:34<00:23, 6.55it/s]
Loading 0: 48%|████▊ | 139/291 [00:35<00:44, 3.41it/s]
Loading 0: 48%|████▊ | 140/291 [00:36<00:54, 2.78it/s]
Loading 0: 49%|████▉ | 143/291 [00:36<00:33, 4.42it/s]
Loading 0: 49%|████▉ | 144/291 [00:36<00:31, 4.65it/s]
Loading 0: 50%|████▉ | 145/291 [00:36<00:28, 5.21it/s]
Loading 0: 51%|█████ | 147/291 [00:37<00:32, 4.41it/s]
Loading 0: 51%|█████ | 148/291 [00:37<00:42, 3.36it/s]
Loading 0: 51%|█████ | 149/291 [00:38<00:53, 2.68it/s]
Loading 0: 52%|█████▏ | 152/291 [00:38<00:30, 4.54it/s]
Loading 0: 53%|█████▎ | 153/291 [00:38<00:28, 4.79it/s]
Loading 0: 53%|█████▎ | 154/291 [00:38<00:25, 5.38it/s]
Loading 0: 54%|█████▎ | 156/291 [00:39<00:30, 4.48it/s]
Loading 0: 54%|█████▍ | 157/291 [00:39<00:39, 3.37it/s]
Loading 0: 54%|█████▍ | 158/291 [00:40<00:50, 2.65it/s]
Loading 0: 55%|█████▌ | 161/291 [00:40<00:29, 4.47it/s]
Loading 0: 56%|█████▌ | 162/291 [00:40<00:27, 4.72it/s]
Loading 0: 56%|█████▌ | 163/291 [00:40<00:24, 5.30it/s]
Loading 0: 57%|█████▋ | 165/291 [00:41<00:28, 4.42it/s]
Loading 0: 57%|█████▋ | 166/291 [00:42<00:37, 3.32it/s]
Loading 0: 57%|█████▋ | 167/291 [00:42<00:46, 2.64it/s]
Loading 0: 58%|█████▊ | 170/291 [00:42<00:26, 4.49it/s]
Loading 0: 59%|█████▉ | 171/291 [00:43<00:25, 4.73it/s]
Loading 0: 59%|█████▉ | 172/291 [00:43<00:22, 5.33it/s]
Loading 0: 59%|█████▉ | 173/291 [00:43<00:32, 3.59it/s]
Loading 0: 60%|██████ | 175/291 [00:43<00:23, 4.90it/s]
Loading 0: 60%|██████ | 176/291 [00:44<00:22, 5.14it/s]
Loading 0: 61%|██████ | 177/291 [00:44<00:20, 5.68it/s]
Loading 0: 62%|██████▏ | 179/291 [00:44<00:24, 4.53it/s]
Loading 0: 62%|██████▏ | 180/291 [00:45<00:33, 3.35it/s]
Loading 0: 62%|██████▏ | 181/291 [00:46<00:41, 2.64it/s]
Loading 0: 63%|██████▎ | 184/291 [00:46<00:23, 4.60it/s]
Loading 0: 64%|██████▎ | 185/291 [00:46<00:21, 4.84it/s]
Loading 0: 64%|██████▍ | 186/291 [00:46<00:19, 5.43it/s]
Loading 0: 64%|██████▍ | 187/291 [00:46<00:18, 5.66it/s]
Loading 0: 65%|██████▍ | 188/291 [00:47<00:28, 3.63it/s]
Loading 0: 65%|██████▍ | 189/291 [00:47<00:37, 2.70it/s]
Loading 0: 66%|██████▌ | 192/291 [00:48<00:27, 3.65it/s]
Loading 0: 66%|██████▋ | 193/291 [00:48<00:32, 3.01it/s]
Loading 0: 67%|██████▋ | 194/291 [00:49<00:38, 2.50it/s]
Loading 0: 68%|██████▊ | 197/291 [00:49<00:22, 4.24it/s]
Loading 0: 68%|██████▊ | 198/291 [00:49<00:20, 4.49it/s]
Loading 0: 68%|██████▊ | 199/291 [00:50<00:18, 5.03it/s]
Loading 0: 69%|██████▉ | 201/291 [00:50<00:20, 4.30it/s]
Loading 0: 69%|██████▉ | 202/291 [00:51<00:27, 3.29it/s]
Loading 0: 70%|██████▉ | 203/291 [00:51<00:33, 2.62it/s]
Loading 0: 71%|███████ | 206/291 [00:52<00:19, 4.45it/s]
Loading 0: 71%|███████ | 207/291 [00:52<00:17, 4.70it/s]
Loading 0: 71%|███████▏ | 208/291 [00:52<00:15, 5.31it/s]
Loading 0: 72%|███████▏ | 210/291 [00:52<00:18, 4.45it/s]
Loading 0: 73%|███████▎ | 211/291 [00:53<00:23, 3.36it/s]
Loading 0: 73%|███████▎ | 212/291 [00:54<00:29, 2.65it/s]
Loading 0: 74%|███████▍ | 215/291 [00:54<00:16, 4.53it/s]
Loading 0: 74%|███████▍ | 216/291 [00:54<00:15, 4.78it/s]
Loading 0: 75%|███████▍ | 217/291 [00:54<00:13, 5.36it/s]
Loading 0: 75%|███████▌ | 219/291 [00:55<00:16, 4.46it/s]
Loading 0: 76%|███████▌ | 220/291 [00:55<00:21, 3.37it/s]
Loading 0: 76%|███████▌ | 221/291 [00:56<00:26, 2.67it/s]
Loading 0: 77%|███████▋ | 224/291 [00:56<00:14, 4.58it/s]
Loading 0: 77%|███████▋ | 225/291 [00:56<00:13, 4.82it/s]
Loading 0: 78%|███████▊ | 226/291 [00:56<00:12, 5.41it/s]
Loading 0: 78%|███████▊ | 228/291 [00:57<00:14, 4.50it/s]
Loading 0: 79%|███████▊ | 229/291 [00:57<00:18, 3.40it/s]
Loading 0: 79%|███████▉ | 230/291 [00:58<00:22, 2.69it/s]
Loading 0: 80%|████████ | 233/291 [00:58<00:12, 4.56it/s]
Loading 0: 80%|████████ | 234/291 [00:58<00:11, 4.81it/s]
Loading 0: 81%|████████ | 235/291 [00:58<00:10, 5.40it/s]
Loading 0: 81%|████████▏ | 237/291 [00:59<00:11, 4.50it/s]
Loading 0: 82%|████████▏ | 238/291 [01:00<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, 4.56it/s]
Loading 0: 84%|████████▎ | 243/291 [01:01<00:10, 4.78it/s]
Loading 0: 84%|████████▍ | 244/291 [01:01<00:08, 5.36it/s]
Loading 0: 85%|████████▍ | 246/291 [01:01<00:10, 4.45it/s]
Loading 0: 85%|████████▍ | 247/291 [01:02<00:13, 3.35it/s]
Loading 0: 85%|████████▌ | 248/291 [01:02<00:16, 2.67it/s]
Loading 0: 86%|████████▋ | 251/291 [01:03<00:08, 4.57it/s]
Loading 0: 87%|████████▋ | 252/291 [01:03<00:08, 4.81it/s]
Loading 0: 87%|████████▋ | 253/291 [01:03<00:07, 5.41it/s]
Loading 0: 88%|████████▊ | 255/291 [01:03<00:07, 4.50it/s]
Loading 0: 88%|████████▊ | 256/291 [01:04<00:10, 3.40it/s]
Loading 0: 88%|████████▊ | 257/291 [01:05<00:12, 2.69it/s]
Loading 0: 89%|████████▉ | 260/291 [01:05<00:06, 4.62it/s]
Loading 0: 90%|████████▉ | 261/291 [01:05<00:06, 4.85it/s]
Loading 0: 90%|█████████ | 263/291 [01:05<00:04, 6.62it/s]
Loading 0: 91%|█████████ | 265/291 [01:06<00:07, 3.45it/s]
Loading 0: 91%|█████████▏| 266/291 [01:07<00:08, 2.81it/s]
Loading 0: 92%|█████████▏| 269/291 [01:07<00:04, 4.49it/s]
Loading 0: 93%|█████████▎| 270/291 [01:07<00:04, 4.72it/s]
Loading 0: 93%|█████████▎| 272/291 [01:07<00:02, 6.34it/s]
Loading 0: 94%|█████████▍| 274/291 [01:08<00:04, 3.45it/s]
Loading 0: 95%|█████████▍| 275/291 [01:09<00:05, 2.81it/s]
Loading 0: 96%|█████████▌| 278/291 [01:09<00:02, 4.45it/s]
Loading 0: 96%|█████████▌| 279/291 [01:09<00:02, 4.68it/s]
Loading 0: 97%|█████████▋| 281/291 [01:10<00:02, 3.95it/s]
Loading 0: 97%|█████████▋| 282/291 [01:11<00:02, 3.04it/s]
Loading 0: 98%|█████████▊| 284/291 [01:11<00:01, 4.03it/s]
Loading 0: 98%|█████████▊| 285/291 [01:11<00:01, 4.33it/s]
Loading 0: 98%|█████████▊| 286/291 [01:11<00:01, 4.93it/s]
Loading 0: 99%|█████████▊| 287/291 [01:11<00:00, 5.21it/s]
Loading 0: 99%|█████████▉| 288/291 [01:12<00:00, 3.44it/s]
Job alexdaoud-trainer-bagir-6009-v2-mkmlizer completed after 135.23s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-6009-v2-mkmlizer
Pipeline stage MKMLizer completed in 135.70s
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 alexdaoud-trainer-bagir-6009-v2
Waiting for inference service alexdaoud-trainer-bagir-6009-v2 to be ready
Inference service alexdaoud-trainer-bagir-6009-v2 ready after 301.13286328315735s
Pipeline stage MKMLDeployer completed in 301.91s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 4.815404891967773s
Received healthy response to inference request in 2.792262554168701s
Received healthy response to inference request in 2.977344512939453s
Received healthy response to inference request in 3.139310359954834s
Received healthy response to inference request in 4.416256666183472s
5 requests
0 failed requests
5th percentile: 2.8292789459228516
10th percentile: 2.866295337677002
20th percentile: 2.9403281211853027
30th percentile: 3.0097376823425295
40th percentile: 3.0745240211486817
50th percentile: 3.139310359954834
60th percentile: 3.6500888824462887
70th percentile: 4.160867404937744
80th percentile: 4.496086311340332
90th percentile: 4.655745601654052
95th percentile: 4.735575246810913
99th percentile: 4.799438962936401
mean time: 3.6281157970428466
%s, retrying in %s seconds...
Received healthy response to inference request in 4.496417760848999s
Received healthy response to inference request in 3.1044931411743164s
Received healthy response to inference request in 3.3943116664886475s
Received healthy response to inference request in 2.09710693359375s
Received healthy response to inference request in 2.1266729831695557s
5 requests
0 failed requests
5th percentile: 2.1030201435089113
10th percentile: 2.108933353424072
20th percentile: 2.1207597732543944
30th percentile: 2.322237014770508
40th percentile: 2.713365077972412
50th percentile: 3.1044931411743164
60th percentile: 3.220420551300049
70th percentile: 3.336347961425781
80th percentile: 3.614732885360718
90th percentile: 4.055575323104859
95th percentile: 4.275996541976928
99th percentile: 4.452333517074585
mean time: 3.0438004970550536
Pipeline stage StressChecker completed in 36.99s
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 0.74s
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 0.69s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_6009_v2 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 0.12s
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 alexdaoud-trainer-bagir-6009-v2-profiler
Waiting for inference service alexdaoud-trainer-bagir-6009-v2-profiler to be ready
Inference service alexdaoud-trainer-bagir-6009-v2-profiler ready after 290.62841868400574s
Pipeline stage MKMLProfilerDeployer completed in 290.97s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baf0e2bc168972ee1362129e411c3daa00-deplohtjxf:/code/chaiverse_profiler_1735390701 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baf0e2bc168972ee1362129e411c3daa00-deplohtjxf --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1735390701 && 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_1735390701/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baf0e2bc168972ee1362129e411c3daa00-deplohtjxf:/code/chaiverse_profiler_1735393469 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baf0e2bc168972ee1362129e411c3daa00-deplohtjxf:/code/chaiverse_profiler_1735393470 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baf0e2bc168972ee1362129e411c3daa00-deplohtjxf --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1735393470 && 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_1735393470/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6009-v2-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-6009-v2-profiler
Service alexdaoud-trainer-bagir-6009-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 3.16s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6009-v2-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 3.06s
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 alexdaoud-trainer-bagir-6009-v2-profiler
Waiting for inference service alexdaoud-trainer-bagir-6009-v2-profiler to be ready
Inference service alexdaoud-trainer-bagir-6009-v2-profiler ready after 220.57583212852478s
Pipeline stage MKMLProfilerDeployer completed in 220.89s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baf0e2bc168972ee1362129e411c3daa00-deplo2mlfw:/code/chaiverse_profiler_1735394251 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baf0e2bc168972ee1362129e411c3daa00-deplo2mlfw --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1735394251 && 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_1735394251/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baf0e2bc168972ee1362129e411c3daa00-deplo2mlfw:/code/chaiverse_profiler_1735397027 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baf0e2bc168972ee1362129e411c3daa00-deplo2mlfw:/code/chaiverse_profiler_1735397028 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baf0e2bc168972ee1362129e411c3daa00-deplo2mlfw --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1735397028 && 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_1735397028/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6009-v2-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-6009-v2-profiler
Service alexdaoud-trainer-bagir-6009-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 3.09s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6009-v2-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 3.09s
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 alexdaoud-trainer-bagir-6009-v2-profiler
Waiting for inference service alexdaoud-trainer-bagir-6009-v2-profiler to be ready
Inference service alexdaoud-trainer-bagir-6009-v2-profiler ready after 140.3186330795288s
Pipeline stage MKMLProfilerDeployer completed in 140.63s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baf0e2bc168972ee1362129e411c3daa00-deplornzhm:/code/chaiverse_profiler_1735397782 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baf0e2bc168972ee1362129e411c3daa00-deplornzhm --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1735397782 && 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_1735397782/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baf0e2bc168972ee1362129e411c3daa00-deplornzhm:/code/chaiverse_profiler_1735400575 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baf0e2bc168972ee1362129e411c3daa00-deplornzhm:/code/chaiverse_profiler_1735400575 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baf0e2bc168972ee1362129e411c3daa00-deplornzhm --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1735400575 && 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_1735400575/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6009-v2-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-6009-v2-profiler
Service alexdaoud-trainer-bagir-6009-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 3.10s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_6009_v2 status is now inactive due to auto deactivation removed underperforming models
alexdaoud-trainer-bagir-_6009_v2 status is now torndown due to DeploymentManager action
alexdaoud-trainer-bagir-_6009_v2 status is now torndown due to DeploymentManager action
alexdaoud-trainer-bagir-_6009_v2 status is now torndown due to DeploymentManager action