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-6918-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-6918-v1-mkmlizer to finish
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ║ _____ __ __ ║
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ║ /___/ ║
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ║ Version: 0.11.12 ║
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ║ https://mk1.ai ║
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ║ The license key for the current software has been verified as ║
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ║ belonging to: ║
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ║ Chai Research Corp. ║
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-6918-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-6918-v1-mkmlizer: Downloaded to shared memory in 30.826s
alexdaoud-trainer-bagir-6918-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmphys15u0_, device:0
alexdaoud-trainer-bagir-6918-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-6918-v1-mkmlizer: quantized model in 86.312s
alexdaoud-trainer-bagir-6918-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-94 in 117.138s
alexdaoud-trainer-bagir-6918-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-6918-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6918-v1
alexdaoud-trainer-bagir-6918-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6918-v1/config.json
alexdaoud-trainer-bagir-6918-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6918-v1/special_tokens_map.json
alexdaoud-trainer-bagir-6918-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6918-v1/tokenizer_config.json
alexdaoud-trainer-bagir-6918-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6918-v1/tokenizer.json
alexdaoud-trainer-bagir-6918-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6918-v1/flywheel_model.0.safetensors
alexdaoud-trainer-bagir-6918-v1-mkmlizer:
Loading 0: 0%| | 0/291 [00:00<?, ?it/s]
Loading 0: 1%| | 3/291 [00:00<00:56, 5.12it/s]
Loading 0: 1%|▏ | 4/291 [00:01<01:31, 3.12it/s]
Loading 0: 2%|▏ | 5/291 [00:01<02:03, 2.31it/s]
Loading 0: 3%|▎ | 8/291 [00:02<01:03, 4.43it/s]
Loading 0: 3%|▎ | 9/291 [00:02<01:02, 4.49it/s]
Loading 0: 3%|▎ | 10/291 [00:02<00:55, 5.10it/s]
Loading 0: 4%|▍ | 12/291 [00:02<01:05, 4.25it/s]
Loading 0: 4%|▍ | 13/291 [00:03<01:27, 3.19it/s]
Loading 0: 5%|▍ | 14/291 [00:04<01:50, 2.50it/s]
Loading 0: 6%|▌ | 17/291 [00:04<01:03, 4.31it/s]
Loading 0: 6%|▌ | 18/291 [00:04<01:00, 4.54it/s]
Loading 0: 7%|▋ | 19/291 [00:04<00:53, 5.12it/s]
Loading 0: 7%|▋ | 21/291 [00:05<01:02, 4.30it/s]
Loading 0: 8%|▊ | 22/291 [00:05<01:23, 3.23it/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 [00:07<00:50, 5.17it/s]
Loading 0: 10%|█ | 30/291 [00:07<01:00, 4.31it/s]
Loading 0: 11%|█ | 31/291 [00:08<01:19, 3.26it/s]
Loading 0: 11%|█ | 32/291 [00:08<01:41, 2.55it/s]
Loading 0: 12%|█▏ | 35/291 [00:09<00:59, 4.33it/s]
Loading 0: 12%|█▏ | 36/291 [00:09<00:55, 4.56it/s]
Loading 0: 13%|█▎ | 37/291 [00:09<00:49, 5.10it/s]
Loading 0: 13%|█▎ | 39/291 [00:09<00:59, 4.27it/s]
Loading 0: 14%|█▎ | 40/291 [00:10<01:17, 3.24it/s]
Loading 0: 14%|█▍ | 41/291 [00:11<01:37, 2.57it/s]
Loading 0: 15%|█▌ | 44/291 [00:11<00:56, 4.35it/s]
Loading 0: 15%|█▌ | 45/291 [00:11<00:53, 4.59it/s]
Loading 0: 16%|█▌ | 46/291 [00:11<00:48, 5.05it/s]
Loading 0: 16%|█▋ | 48/291 [00:12<00:57, 4.25it/s]
Loading 0: 17%|█▋ | 49/291 [00:12<01:14, 3.23it/s]
Loading 0: 17%|█▋ | 50/291 [00:13<01:35, 2.54it/s]
Loading 0: 18%|█▊ | 53/291 [00:13<00:55, 4.31it/s]
Loading 0: 19%|█▊ | 54/291 [00:13<00:51, 4.56it/s]
Loading 0: 19%|█▉ | 55/291 [00:14<00:45, 5.15it/s]
Loading 0: 20%|█▉ | 57/291 [00:14<00:54, 4.30it/s]
Loading 0: 20%|█▉ | 58/291 [00:15<01:11, 3.25it/s]
Loading 0: 20%|██ | 59/291 [00:15<01:30, 2.57it/s]
Loading 0: 21%|██▏ | 62/291 [00:16<00:51, 4.42it/s]
Loading 0: 22%|██▏ | 63/291 [00:16<00:48, 4.66it/s]
Loading 0: 22%|██▏ | 64/291 [00:16<00:43, 5.25it/s]
Loading 0: 23%|██▎ | 66/291 [00:16<00:51, 4.35it/s]
Loading 0: 23%|██▎ | 67/291 [00:17<01:08, 3.27it/s]
Loading 0: 23%|██▎ | 68/291 [00:18<01:26, 2.59it/s]
Loading 0: 24%|██▍ | 71/291 [00:18<00:49, 4.45it/s]
Loading 0: 25%|██▍ | 72/291 [00:18<00:46, 4.69it/s]
Loading 0: 25%|██▌ | 73/291 [00:18<00:41, 5.28it/s]
Loading 0: 26%|██▌ | 75/291 [00:19<00:49, 4.39it/s]
Loading 0: 26%|██▌ | 76/291 [00:19<01:05, 3.30it/s]
Loading 0: 26%|██▋ | 77/291 [00:20<01:23, 2.58it/s]
Loading 0: 27%|██▋ | 80/291 [00:20<00:48, 4.37it/s]
Loading 0: 28%|██▊ | 81/291 [00:20<00:45, 4.61it/s]
Loading 0: 28%|██▊ | 82/291 [00:20<00:40, 5.19it/s]
Loading 0: 29%|██▊ | 83/291 [00:21<00:40, 5.19it/s]
Loading 0: 29%|██▉ | 84/291 [00:21<01:00, 3.42it/s]
Loading 0: 29%|██▉ | 85/291 [00:22<01:15, 2.71it/s]
Loading 0: 30%|██▉ | 86/291 [00:22<01:31, 2.24it/s]
Loading 0: 31%|███ | 89/291 [00:23<00:48, 4.18it/s]
Loading 0: 31%|███ | 90/291 [00:23<00:45, 4.45it/s]
Loading 0: 31%|███▏ | 91/291 [00:23<00:39, 5.07it/s]
Loading 0: 32%|███▏ | 93/291 [00:23<00:46, 4.25it/s]
Loading 0: 32%|███▏ | 94/291 [00:24<01:01, 3.22it/s]
Loading 0: 33%|███▎ | 95/291 [00:25<01:16, 2.57it/s]
Loading 0: 34%|███▎ | 98/291 [00:25<00:43, 4.40it/s]
Loading 0: 34%|███▍ | 99/291 [00:25<00:41, 4.64it/s]
Loading 0: 34%|███▍ | 100/291 [00:25<00:36, 5.19it/s]
Loading 0: 35%|███▌ | 102/291 [00:26<00:43, 4.33it/s]
Loading 0: 35%|███▌ | 103/291 [00:26<00:57, 3.26it/s]
Loading 0: 36%|███▌ | 104/291 [00:27<01:12, 2.56it/s]
Loading 0: 37%|███▋ | 107/291 [00:27<00:42, 4.35it/s]
Loading 0: 37%|███▋ | 108/291 [00:27<00:39, 4.59it/s]
Loading 0: 37%|███▋ | 109/291 [00:27<00:35, 5.17it/s]
Loading 0: 38%|███▊ | 111/291 [00:28<00:41, 4.33it/s]
Loading 0: 38%|███▊ | 112/291 [00:29<00:54, 3.27it/s]
Loading 0: 39%|███▉ | 113/291 [00:29<01:08, 2.58it/s]
Loading 0: 40%|███▉ | 116/291 [00:30<00:39, 4.39it/s]
Loading 0: 40%|████ | 117/291 [00:30<00:37, 4.63it/s]
Loading 0: 41%|████ | 118/291 [00:30<00:33, 5.21it/s]
Loading 0: 41%|████ | 120/291 [00:30<00:39, 4.34it/s]
Loading 0: 42%|████▏ | 121/291 [00:31<00:51, 3.27it/s]
Loading 0: 42%|████▏ | 122/291 [00:32<01:05, 2.57it/s]
Loading 0: 43%|████▎ | 125/291 [00:32<00:38, 4.35it/s]
Loading 0: 43%|████▎ | 126/291 [00:32<00:35, 4.59it/s]
Loading 0: 44%|████▎ | 127/291 [00:32<00:31, 5.16it/s]
Loading 0: 44%|████▍ | 129/291 [00:33<00:37, 4.30it/s]
Loading 0: 45%|████▍ | 130/291 [00:33<00:49, 3.26it/s]
Loading 0: 45%|████▌ | 131/291 [00:34<01:01, 2.60it/s]
Loading 0: 46%|████▌ | 134/291 [00:34<00:35, 4.40it/s]
Loading 0: 46%|████▋ | 135/291 [00:34<00:33, 4.64it/s]
Loading 0: 47%|████▋ | 136/291 [00:34<00:29, 5.24it/s]
Loading 0: 47%|████▋ | 138/291 [00:35<00:35, 4.36it/s]
Loading 0: 48%|████▊ | 139/291 [00:36<00:46, 3.27it/s]
Loading 0: 48%|████▊ | 140/291 [00:36<00:58, 2.58it/s]
Loading 0: 49%|████▉ | 143/291 [00:36<00:33, 4.43it/s]
Loading 0: 49%|████▉ | 144/291 [00:37<00:31, 4.66it/s]
Loading 0: 50%|████▉ | 145/291 [00:37<00:27, 5.25it/s]
Loading 0: 51%|█████ | 147/291 [00:37<00:34, 4.23it/s]
Loading 0: 51%|█████ | 148/291 [00:38<00:44, 3.23it/s]
Loading 0: 51%|█████ | 149/291 [00:39<00:55, 2.58it/s]
Loading 0: 52%|█████▏ | 152/291 [00:39<00:31, 4.38it/s]
Loading 0: 53%|█████▎ | 153/291 [00:39<00:29, 4.62it/s]
Loading 0: 53%|█████▎ | 154/291 [00:39<00:26, 5.17it/s]
Loading 0: 54%|█████▎ | 156/291 [00:40<00:31, 4.31it/s]
Loading 0: 54%|█████▍ | 157/291 [00:40<00:41, 3.27it/s]
Loading 0: 54%|█████▍ | 158/291 [00:41<00:51, 2.60it/s]
Loading 0: 55%|█████▌ | 161/291 [00:41<00:29, 4.46it/s]
Loading 0: 56%|█████▌ | 162/291 [00:41<00:27, 4.69it/s]
Loading 0: 56%|█████▌ | 163/291 [00:41<00:24, 5.26it/s]
Loading 0: 57%|█████▋ | 165/291 [00:42<00:28, 4.37it/s]
Loading 0: 57%|█████▋ | 166/291 [00:42<00:38, 3.26it/s]
Loading 0: 57%|█████▋ | 167/291 [00:43<00:48, 2.54it/s]
Loading 0: 58%|█████▊ | 170/291 [00:43<00:28, 4.32it/s]
Loading 0: 59%|█████▉ | 171/291 [00:44<00:26, 4.57it/s]
Loading 0: 59%|█████▉ | 172/291 [00:44<00:23, 5.17it/s]
Loading 0: 59%|█████▉ | 173/291 [00:44<00:33, 3.52it/s]
Loading 0: 60%|██████ | 175/291 [00:44<00:24, 4.76it/s]
Loading 0: 60%|██████ | 176/291 [00:45<00:22, 5.00it/s]
Loading 0: 62%|██████▏ | 179/291 [00:45<00:23, 4.71it/s]
Loading 0: 62%|██████▏ | 180/291 [00:46<00:31, 3.57it/s]
Loading 0: 62%|██████▏ | 181/291 [00:46<00:39, 2.79it/s]
Loading 0: 63%|██████▎ | 184/291 [00:47<00:23, 4.59it/s]
Loading 0: 64%|██████▎ | 185/291 [00:47<00:22, 4.80it/s]
Loading 0: 64%|██████▍ | 186/291 [00:47<00:19, 5.32it/s]
Loading 0: 64%|██████▍ | 187/291 [00:47<00:20, 5.18it/s]
Loading 0: 65%|██████▍ | 188/291 [00:48<00:29, 3.48it/s]
Loading 0: 65%|██████▍ | 189/291 [00:48<00:38, 2.62it/s]
Loading 0: 66%|██████▌ | 192/291 [00:49<00:28, 3.53it/s]
Loading 0: 66%|██████▋ | 193/291 [00:50<00:33, 2.93it/s]
Loading 0: 67%|██████▋ | 194/291 [00:50<00:39, 2.45it/s]
Loading 0: 68%|██████▊ | 197/291 [00:50<00:22, 4.17it/s]
Loading 0: 68%|██████▊ | 198/291 [00:51<00:21, 4.42it/s]
Loading 0: 68%|██████▊ | 199/291 [00:51<00:18, 4.99it/s]
Loading 0: 69%|██████▉ | 201/291 [00:51<00:21, 4.27it/s]
Loading 0: 69%|██████▉ | 202/291 [00:52<00:27, 3.26it/s]
Loading 0: 70%|██████▉ | 203/291 [00:52<00:34, 2.57it/s]
Loading 0: 71%|███████ | 206/291 [00:53<00:19, 4.36it/s]
Loading 0: 71%|███████ | 207/291 [00:53<00:18, 4.61it/s]
Loading 0: 71%|███████▏ | 208/291 [00:53<00:15, 5.19it/s]
Loading 0: 72%|███████▏ | 210/291 [00:53<00:18, 4.37it/s]
Loading 0: 73%|███████▎ | 211/291 [00:54<00:24, 3.28it/s]
Loading 0: 73%|███████▎ | 212/291 [00:55<00:30, 2.62it/s]
Loading 0: 74%|███████▍ | 215/291 [00:55<00:16, 4.48it/s]
Loading 0: 74%|███████▍ | 216/291 [00:55<00:15, 4.71it/s]
Loading 0: 75%|███████▍ | 217/291 [00:55<00:14, 5.28it/s]
Loading 0: 75%|███████▌ | 219/291 [00:56<00:16, 4.41it/s]
Loading 0: 76%|███████▌ | 220/291 [00:56<00:21, 3.31it/s]
Loading 0: 76%|███████▌ | 221/291 [00:57<00:26, 2.62it/s]
Loading 0: 77%|███████▋ | 224/291 [00:57<00:15, 4.44it/s]
Loading 0: 77%|███████▋ | 225/291 [00:57<00:14, 4.68it/s]
Loading 0: 78%|███████▊ | 226/291 [00:57<00:12, 5.25it/s]
Loading 0: 78%|███████▊ | 228/291 [00:58<00:14, 4.39it/s]
Loading 0: 79%|███████▊ | 229/291 [00:59<00:18, 3.31it/s]
Loading 0: 79%|███████▉ | 230/291 [00:59<00:23, 2.61it/s]
Loading 0: 80%|████████ | 233/291 [00:59<00:12, 4.48it/s]
Loading 0: 80%|████████ | 234/291 [01:00<00:12, 4.72it/s]
Loading 0: 81%|████████ | 235/291 [01:00<00:10, 5.30it/s]
Loading 0: 81%|████████▏ | 237/291 [01:00<00:12, 4.42it/s]
Loading 0: 82%|████████▏ | 238/291 [01:01<00:15, 3.33it/s]
Loading 0: 82%|████████▏ | 239/291 [01:01<00:19, 2.64it/s]
Loading 0: 83%|████████▎ | 242/291 [01:02<00:10, 4.52it/s]
Loading 0: 84%|████████▎ | 243/291 [01:02<00:10, 4.75it/s]
Loading 0: 84%|████████▍ | 244/291 [01:02<00:08, 5.28it/s]
Loading 0: 85%|████████▍ | 246/291 [01:03<00:10, 4.38it/s]
Loading 0: 85%|████████▍ | 247/291 [01:03<00:13, 3.31it/s]
Loading 0: 85%|████████▌ | 248/291 [01:04<00:16, 2.61it/s]
Loading 0: 86%|████████▋ | 251/291 [01:04<00:08, 4.49it/s]
Loading 0: 87%|████████▋ | 252/291 [01:04<00:08, 4.72it/s]
Loading 0: 87%|████████▋ | 253/291 [01:04<00:07, 5.26it/s]
Loading 0: 88%|████████▊ | 255/291 [01:05<00:08, 4.40it/s]
Loading 0: 88%|████████▊ | 256/291 [01:05<00:10, 3.32it/s]
Loading 0: 88%|████████▊ | 257/291 [01:06<00:12, 2.63it/s]
Loading 0: 89%|████████▉ | 260/291 [01:06<00:06, 4.47it/s]
Loading 0: 90%|████████▉ | 261/291 [01:06<00:06, 4.71it/s]
Loading 0: 90%|█████████ | 262/291 [01:06<00:05, 5.25it/s]
Loading 0: 91%|█████████ | 264/291 [01:07<00:06, 4.38it/s]
Loading 0: 91%|█████████ | 265/291 [01:08<00:07, 3.32it/s]
Loading 0: 91%|█████████▏| 266/291 [01:08<00:09, 2.63it/s]
Loading 0: 92%|█████████▏| 269/291 [01:08<00:04, 4.47it/s]
Loading 0: 93%|█████████▎| 270/291 [01:09<00:04, 4.71it/s]
Loading 0: 93%|█████████▎| 271/291 [01:09<00:03, 5.28it/s]
Loading 0: 94%|█████████▍| 273/291 [01:09<00:04, 4.41it/s]
Loading 0: 94%|█████████▍| 274/291 [01:10<00:05, 3.32it/s]
Loading 0: 95%|█████████▍| 275/291 [01:11<00:06, 2.63it/s]
Loading 0: 96%|█████████▌| 278/291 [01:11<00:02, 4.53it/s]
Loading 0: 96%|█████████▌| 279/291 [01:11<00:02, 4.76it/s]
Loading 0: 96%|█████████▌| 280/291 [01:11<00:02, 5.34it/s]
Loading 0: 97%|█████████▋| 281/291 [01:12<00:02, 3.59it/s]
Loading 0: 97%|█████████▋| 282/291 [01:12<00:03, 2.68it/s]
Loading 0: 98%|█████████▊| 284/291 [01:12<00:01, 3.85it/s]
Loading 0: 98%|█████████▊| 285/291 [01:13<00:01, 4.20it/s]
Loading 0: 98%|█████████▊| 286/291 [01:13<00:01, 4.85it/s]
Loading 0: 99%|█████████▊| 287/291 [01:13<00:00, 5.01it/s]
Loading 0: 99%|█████████▉| 288/291 [01:13<00:00, 3.31it/s]
Job alexdaoud-trainer-bagir-6918-v1-mkmlizer completed after 135.44s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-6918-v1-mkmlizer
Pipeline stage MKMLizer completed in 135.97s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service alexdaoud-trainer-bagir-6918-v1
Waiting for inference service alexdaoud-trainer-bagir-6918-v1 to be ready
Retrying (%r) after connection broken by '%r': %s
Inference service alexdaoud-trainer-bagir-6918-v1 ready after 241.0159924030304s
Pipeline stage MKMLDeployer completed in 241.57s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6364426612854004s
Received healthy response to inference request in 3.333080530166626s
Received healthy response to inference request in 2.6845645904541016s
Received healthy response to inference request in 2.950873851776123s
Received healthy response to inference request in 4.236212491989136s
5 requests
0 failed requests
5th percentile: 2.6460670471191405
10th percentile: 2.6556914329528807
20th percentile: 2.6749402046203614
30th percentile: 2.737826442718506
40th percentile: 2.8443501472473143
50th percentile: 2.950873851776123
60th percentile: 3.1037565231323243
70th percentile: 3.256639194488525
80th percentile: 3.513706922531128
90th percentile: 3.874959707260132
95th percentile: 4.055586099624634
99th percentile: 4.200087213516236
mean time: 3.1682348251342773
Pipeline stage StressChecker completed in 17.05s
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 2.25s
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 2.16s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_6918_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 0.11s
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-6918-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-6918-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-6918-v1-profiler ready after 240.51094913482666s
Pipeline stage MKMLProfilerDeployer completed in 240.86s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba2214d422be6cef51d2e5094dda4c3312-deplo8g7fn:/code/chaiverse_profiler_1734514746 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba2214d422be6cef51d2e5094dda4c3312-deplo8g7fn --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734514746 && 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_1734514746/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba2214d422be6cef51d2e5094dda4c3312-deplo8g7fn:/code/chaiverse_profiler_1734517543 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba2214d422be6cef51d2e5094dda4c3312-deplo8g7fn:/code/chaiverse_profiler_1734517544 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba2214d422be6cef51d2e5094dda4c3312-deplo8g7fn --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734517544 && 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_1734517544/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6918-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-6918-v1-profiler
Service alexdaoud-trainer-bagir-6918-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.71s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6918-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.44s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-6918-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-6918-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-6918-v1-profiler ready after 90.21973657608032s
Pipeline stage MKMLProfilerDeployer completed in 90.54s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba2214d422be6cef51d2e5094dda4c3312-deplo58t68:/code/chaiverse_profiler_1734518223 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba2214d422be6cef51d2e5094dda4c3312-deplo58t68 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734518223 && 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_1734518223/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6918-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-6918-v1-profiler
Service alexdaoud-trainer-bagir-6918-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.66s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6918-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.77s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-6918-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-6918-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-6918-v1-profiler ready after 240.55626606941223s
Pipeline stage MKMLProfilerDeployer completed in 240.89s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba2214d422be6cef51d2e5094dda4c3312-deplohqmj2:/code/chaiverse_profiler_1734521219 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba2214d422be6cef51d2e5094dda4c3312-deplohqmj2 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734521219 && 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_1734521219/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba2214d422be6cef51d2e5094dda4c3312-deplohqmj2:/code/chaiverse_profiler_1734523995 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba2214d422be6cef51d2e5094dda4c3312-deplohqmj2 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734523995 && 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_1734523995/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6918-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-6918-v1-profiler
Service alexdaoud-trainer-bagir-6918-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.37s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_6918_v1 status is now inactive due to auto deactivation removed underperforming models