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-4640-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-4640-v1-mkmlizer to finish
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ║ _____ __ __ ║
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ║ /___/ ║
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ║ Version: 0.11.12 ║
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ║ https://mk1.ai ║
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ║ The license key for the current software has been verified as ║
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ║ belonging to: ║
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ║ Chai Research Corp. ║
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-4640-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-4640-v1-mkmlizer: Downloaded to shared memory in 30.940s
alexdaoud-trainer-bagir-4640-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp__1beo__, device:0
alexdaoud-trainer-bagir-4640-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-4640-v1-mkmlizer: quantized model in 85.112s
alexdaoud-trainer-bagir-4640-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-80 in 116.053s
alexdaoud-trainer-bagir-4640-v1-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-4640-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-4640-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-4640-v1
alexdaoud-trainer-bagir-4640-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-4640-v1/config.json
alexdaoud-trainer-bagir-4640-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-4640-v1/special_tokens_map.json
alexdaoud-trainer-bagir-4640-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-4640-v1/tokenizer_config.json
alexdaoud-trainer-bagir-4640-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-4640-v1/tokenizer.json
alexdaoud-trainer-bagir-4640-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-4640-v1/flywheel_model.0.safetensors
alexdaoud-trainer-bagir-4640-v1-mkmlizer:
Loading 0: 0%| | 0/291 [00:00<?, ?it/s]
Loading 0: 1%| | 3/291 [00:00<00:56, 5.13it/s]
Loading 0: 1%|▏ | 4/291 [00:01<01:31, 3.15it/s]
Loading 0: 2%|▏ | 5/291 [00:01<02:02, 2.34it/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<00:53, 5.20it/s]
Loading 0: 4%|▍ | 12/291 [00:02<01:04, 4.32it/s]
Loading 0: 4%|▍ | 13/291 [00:03<01:25, 3.24it/s]
Loading 0: 5%|▍ | 14/291 [00:04<01:49, 2.53it/s]
Loading 0: 6%|▌ | 17/291 [00:04<01:02, 4.36it/s]
Loading 0: 6%|▌ | 18/291 [00:04<00:59, 4.60it/s]
Loading 0: 7%|▋ | 19/291 [00:04<00:52, 5.19it/s]
Loading 0: 7%|▋ | 21/291 [00:05<01:02, 4.35it/s]
Loading 0: 8%|▊ | 22/291 [00:05<01:22, 3.28it/s]
Loading 0: 8%|▊ | 23/291 [00:06<01:44, 2.57it/s]
Loading 0: 9%|▉ | 26/291 [00:06<01:00, 4.39it/s]
Loading 0: 9%|▉ | 27/291 [00:06<00:56, 4.63it/s]
Loading 0: 10%|▉ | 28/291 [00:06<00:50, 5.22it/s]
Loading 0: 10%|█ | 30/291 [00:07<00:59, 4.36it/s]
Loading 0: 11%|█ | 31/291 [00:08<01:18, 3.30it/s]
Loading 0: 11%|█ | 32/291 [00:08<01:40, 2.58it/s]
Loading 0: 12%|█▏ | 35/291 [00:08<00:58, 4.39it/s]
Loading 0: 12%|█▏ | 36/291 [00:09<00:55, 4.63it/s]
Loading 0: 13%|█▎ | 37/291 [00:09<00:48, 5.23it/s]
Loading 0: 13%|█▎ | 39/291 [00:09<00:57, 4.40it/s]
Loading 0: 14%|█▎ | 40/291 [00:10<01:15, 3.31it/s]
Loading 0: 14%|█▍ | 41/291 [00:11<01:35, 2.61it/s]
Loading 0: 15%|█▌ | 44/291 [00:11<00:55, 4.43it/s]
Loading 0: 15%|█▌ | 45/291 [00:11<00:52, 4.65it/s]
Loading 0: 16%|█▌ | 46/291 [00:11<00:47, 5.12it/s]
Loading 0: 16%|█▋ | 48/291 [00:12<00:55, 4.34it/s]
Loading 0: 17%|█▋ | 49/291 [00:12<01:13, 3.29it/s]
Loading 0: 17%|█▋ | 50/291 [00:13<01:33, 2.59it/s]
Loading 0: 18%|█▊ | 53/291 [00:13<00:53, 4.45it/s]
Loading 0: 19%|█▊ | 54/291 [00:13<00:50, 4.68it/s]
Loading 0: 19%|█▉ | 55/291 [00:13<00:45, 5.23it/s]
Loading 0: 20%|█▉ | 57/291 [00:14<00:53, 4.37it/s]
Loading 0: 20%|█▉ | 58/291 [00:14<01:10, 3.29it/s]
Loading 0: 20%|██ | 59/291 [00:15<01:30, 2.57it/s]
Loading 0: 21%|██▏ | 62/291 [00:15<00:51, 4.41it/s]
Loading 0: 22%|██▏ | 63/291 [00:15<00:49, 4.65it/s]
Loading 0: 22%|██▏ | 64/291 [00:16<00:43, 5.23it/s]
Loading 0: 23%|██▎ | 66/291 [00:16<00:51, 4.38it/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, 4.48it/s]
Loading 0: 25%|██▍ | 72/291 [00:18<00:46, 4.71it/s]
Loading 0: 25%|██▌ | 73/291 [00:18<00:41, 5.32it/s]
Loading 0: 26%|██▌ | 75/291 [00:18<00:48, 4.43it/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, 4.45it/s]
Loading 0: 28%|██▊ | 81/291 [00:20<00:44, 4.69it/s]
Loading 0: 28%|██▊ | 82/291 [00:20<00:39, 5.29it/s]
Loading 0: 29%|██▊ | 83/291 [00:20<00:39, 5.31it/s]
Loading 0: 29%|██▉ | 84/291 [00:21<00:59, 3.50it/s]
Loading 0: 29%|██▉ | 85/291 [00:21<01:14, 2.77it/s]
Loading 0: 30%|██▉ | 86/291 [00:22<01:29, 2.28it/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<00:38, 5.17it/s]
Loading 0: 32%|███▏ | 93/291 [00:23<00:45, 4.33it/s]
Loading 0: 32%|███▏ | 94/291 [00:24<01:00, 3.26it/s]
Loading 0: 33%|███▎ | 95/291 [00:24<01:16, 2.58it/s]
Loading 0: 34%|███▎ | 98/291 [00:25<00:43, 4.41it/s]
Loading 0: 34%|███▍ | 99/291 [00:25<00:42, 4.47it/s]
Loading 0: 34%|███▍ | 100/291 [00:25<00:37, 5.04it/s]
Loading 0: 35%|███▌ | 102/291 [00:25<00:44, 4.28it/s]
Loading 0: 35%|███▌ | 103/291 [00:26<00:57, 3.25it/s]
Loading 0: 36%|███▌ | 104/291 [00:27<01:13, 2.55it/s]
Loading 0: 37%|███▋ | 107/291 [00:27<00:42, 4.33it/s]
Loading 0: 37%|███▋ | 108/291 [00:27<00:39, 4.58it/s]
Loading 0: 37%|███▋ | 109/291 [00:27<00:35, 5.16it/s]
Loading 0: 38%|███▊ | 111/291 [00:28<00:41, 4.34it/s]
Loading 0: 38%|███▊ | 112/291 [00:28<00:54, 3.27it/s]
Loading 0: 39%|███▉ | 113/291 [00:29<01:08, 2.60it/s]
Loading 0: 40%|███▉ | 116/291 [00:29<00:39, 4.47it/s]
Loading 0: 40%|████ | 117/291 [00:29<00:36, 4.71it/s]
Loading 0: 41%|████ | 118/291 [00:29<00:32, 5.31it/s]
Loading 0: 41%|████ | 120/291 [00:30<00:38, 4.44it/s]
Loading 0: 42%|████▏ | 121/291 [00:31<00:50, 3.35it/s]
Loading 0: 42%|████▏ | 122/291 [00:31<01:04, 2.64it/s]
Loading 0: 43%|████▎ | 125/291 [00:31<00:36, 4.49it/s]
Loading 0: 43%|████▎ | 126/291 [00:32<00:34, 4.73it/s]
Loading 0: 44%|████▎ | 127/291 [00:32<00:31, 5.23it/s]
Loading 0: 44%|████▍ | 129/291 [00:32<00:36, 4.40it/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 [00:34<00:35, 4.47it/s]
Loading 0: 46%|████▋ | 135/291 [00:34<00:33, 4.72it/s]
Loading 0: 47%|████▋ | 136/291 [00:34<00:29, 5.33it/s]
Loading 0: 47%|████▋ | 138/291 [00:35<00:34, 4.42it/s]
Loading 0: 48%|████▊ | 139/291 [00:35<00:46, 3.26it/s]
Loading 0: 48%|████▊ | 140/291 [00:36<00:58, 2.58it/s]
Loading 0: 49%|████▉ | 143/291 [00:36<00:33, 4.44it/s]
Loading 0: 49%|████▉ | 144/291 [00:36<00:31, 4.69it/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 [00:37<00:42, 3.33it/s]
Loading 0: 51%|█████ | 149/291 [00:38<00:53, 2.63it/s]
Loading 0: 52%|█████▏ | 152/291 [00:38<00:31, 4.47it/s]
Loading 0: 53%|█████▎ | 153/291 [00:38<00:29, 4.71it/s]
Loading 0: 53%|█████▎ | 154/291 [00:39<00:25, 5.28it/s]
Loading 0: 54%|█████▎ | 156/291 [00:39<00:30, 4.41it/s]
Loading 0: 54%|█████▍ | 157/291 [00:40<00:40, 3.33it/s]
Loading 0: 54%|█████▍ | 158/291 [00:40<00:50, 2.63it/s]
Loading 0: 55%|█████▌ | 161/291 [00:41<00:29, 4.46it/s]
Loading 0: 56%|█████▌ | 162/291 [00:41<00:27, 4.70it/s]
Loading 0: 56%|█████▌ | 163/291 [00:41<00:24, 5.29it/s]
Loading 0: 57%|█████▋ | 165/291 [00:41<00:28, 4.38it/s]
Loading 0: 57%|█████▋ | 166/291 [00:42<00:37, 3.32it/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, 5.30it/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%|██████ | 177/291 [00:44<00:20, 5.67it/s]
Loading 0: 62%|██████▏ | 179/291 [00:45<00:24, 4.50it/s]
Loading 0: 62%|██████▏ | 180/291 [00:45<00:33, 3.32it/s]
Loading 0: 62%|██████▏ | 181/291 [00:46<00:42, 2.61it/s]
Loading 0: 63%|██████▎ | 184/291 [00:46<00:23, 4.58it/s]
Loading 0: 64%|██████▎ | 185/291 [00:46<00:22, 4.80it/s]
Loading 0: 64%|██████▍ | 186/291 [00:46<00:19, 5.36it/s]
Loading 0: 64%|██████▍ | 187/291 [00:47<00:19, 5.21it/s]
Loading 0: 65%|██████▍ | 188/291 [00:47<00:29, 3.46it/s]
Loading 0: 65%|██████▍ | 189/291 [00:48<00:38, 2.62it/s]
Loading 0: 66%|██████▌ | 192/291 [00:48<00:27, 3.56it/s]
Loading 0: 66%|██████▋ | 193/291 [00:49<00:33, 2.92it/s]
Loading 0: 67%|██████▋ | 194/291 [00:50<00:39, 2.44it/s]
Loading 0: 68%|██████▊ | 197/291 [00:50<00:22, 4.13it/s]
Loading 0: 68%|██████▊ | 198/291 [00:50<00:21, 4.40it/s]
Loading 0: 68%|██████▊ | 199/291 [00:50<00:18, 4.99it/s]
Loading 0: 69%|██████▉ | 201/291 [00:51<00:20, 4.30it/s]
Loading 0: 69%|██████▉ | 202/291 [00:51<00:27, 3.30it/s]
Loading 0: 70%|██████▉ | 203/291 [00:52<00:33, 2.63it/s]
Loading 0: 71%|███████ | 206/291 [00:52<00:18, 4.48it/s]
Loading 0: 71%|███████ | 207/291 [00:52<00:17, 4.72it/s]
Loading 0: 71%|███████▏ | 208/291 [00:52<00:15, 5.33it/s]
Loading 0: 72%|███████▏ | 210/291 [00:53<00:18, 4.46it/s]
Loading 0: 73%|███████▎ | 211/291 [00:53<00:23, 3.35it/s]
Loading 0: 73%|███████▎ | 212/291 [00:54<00:29, 2.65it/s]
Loading 0: 74%|███████▍ | 215/291 [00:54<00:16, 4.54it/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, 4.44it/s]
Loading 0: 76%|███████▌ | 220/291 [00:56<00:21, 3.36it/s]
Loading 0: 76%|███████▌ | 221/291 [00:56<00:26, 2.66it/s]
Loading 0: 77%|███████▋ | 224/291 [00:56<00:14, 4.57it/s]
Loading 0: 77%|███████▋ | 225/291 [00:57<00:13, 4.89it/s]
Loading 0: 78%|███████▊ | 228/291 [00:57<00:13, 4.70it/s]
Loading 0: 79%|███████▊ | 229/291 [00:58<00:17, 3.64it/s]
Loading 0: 79%|███████▉ | 230/291 [00:58<00:21, 2.89it/s]
Loading 0: 80%|████████ | 233/291 [00:59<00:12, 4.66it/s]
Loading 0: 80%|████████ | 234/291 [00:59<00:11, 4.88it/s]
Loading 0: 81%|████████ | 235/291 [00:59<00:10, 5.41it/s]
Loading 0: 81%|████████▏ | 237/291 [00:59<00:12, 4.49it/s]
Loading 0: 82%|████████▏ | 238/291 [01:00<00:15, 3.39it/s]
Loading 0: 82%|████████▏ | 239/291 [01:01<00:19, 2.69it/s]
Loading 0: 83%|████████▎ | 242/291 [01:01<00:10, 4.52it/s]
Loading 0: 84%|████████▎ | 243/291 [01:01<00:10, 4.75it/s]
Loading 0: 84%|████████▍ | 244/291 [01:01<00:08, 5.34it/s]
Loading 0: 85%|████████▍ | 246/291 [01:02<00:10, 4.45it/s]
Loading 0: 85%|████████▍ | 247/291 [01:02<00:13, 3.37it/s]
Loading 0: 85%|████████▌ | 248/291 [01:03<00:16, 2.67it/s]
Loading 0: 86%|████████▋ | 251/291 [01:03<00:08, 4.54it/s]
Loading 0: 87%|████████▋ | 252/291 [01:03<00:08, 4.77it/s]
Loading 0: 87%|████████▋ | 253/291 [01:03<00:07, 5.35it/s]
Loading 0: 88%|████████▊ | 255/291 [01:04<00:08, 4.45it/s]
Loading 0: 88%|████████▊ | 256/291 [01:05<00:10, 3.35it/s]
Loading 0: 88%|████████▊ | 257/291 [01:05<00:12, 2.66it/s]
Loading 0: 89%|████████▉ | 260/291 [01:05<00:06, 4.57it/s]
Loading 0: 90%|████████▉ | 261/291 [01:05<00:06, 4.80it/s]
Loading 0: 90%|█████████ | 262/291 [01:06<00:05, 5.39it/s]
Loading 0: 91%|█████████ | 264/291 [01:06<00:06, 4.47it/s]
Loading 0: 91%|█████████ | 265/291 [01:07<00:07, 3.37it/s]
Loading 0: 91%|█████████▏| 266/291 [01:07<00:09, 2.66it/s]
Loading 0: 92%|█████████▏| 269/291 [01:08<00:04, 4.56it/s]
Loading 0: 93%|█████████▎| 270/291 [01:08<00:04, 4.80it/s]
Loading 0: 93%|█████████▎| 271/291 [01:08<00:03, 5.38it/s]
Loading 0: 94%|█████████▍| 273/291 [01:08<00:04, 4.45it/s]
Loading 0: 94%|█████████▍| 274/291 [01:09<00:05, 3.34it/s]
Loading 0: 95%|█████████▍| 275/291 [01:10<00:06, 2.61it/s]
Loading 0: 96%|█████████▌| 278/291 [01:10<00:02, 4.44it/s]
Loading 0: 96%|█████████▌| 279/291 [01:10<00:02, 4.68it/s]
Loading 0: 96%|█████████▌| 280/291 [01:10<00:02, 5.26it/s]
Loading 0: 97%|█████████▋| 281/291 [01:11<00:02, 3.57it/s]
Loading 0: 97%|█████████▋| 282/291 [01:11<00:03, 2.72it/s]
Loading 0: 98%|█████████▊| 284/291 [01:11<00:01, 3.97it/s]
Loading 0: 98%|█████████▊| 285/291 [01:12<00:01, 4.32it/s]
Loading 0: 99%|█████████▊| 287/291 [01:12<00:00, 5.16it/s]
Loading 0: 99%|█████████▉| 288/291 [01:12<00:00, 3.62it/s]
Job alexdaoud-trainer-bagir-4640-v1-mkmlizer completed after 136.24s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-4640-v1-mkmlizer
Pipeline stage MKMLizer completed in 137.64s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service alexdaoud-trainer-bagir-4640-v1
Waiting for inference service alexdaoud-trainer-bagir-4640-v1 to be ready
Inference service alexdaoud-trainer-bagir-4640-v1 ready after 232.00861525535583s
Pipeline stage MKMLDeployer completed in 232.62s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.103860378265381s
Received healthy response to inference request in 3.3838796615600586s
Received healthy response to inference request in 2.6254994869232178s
Received healthy response to inference request in 3.214301586151123s
Received healthy response to inference request in 3.2913193702697754s
5 requests
0 failed requests
5th percentile: 2.72117166519165
10th percentile: 2.816843843460083
20th percentile: 3.0081881999969484
30th percentile: 3.1259486198425295
40th percentile: 3.1701251029968263
50th percentile: 3.214301586151123
60th percentile: 3.245108699798584
70th percentile: 3.275915813446045
80th percentile: 3.309831428527832
90th percentile: 3.3468555450439452
95th percentile: 3.365367603302002
99th percentile: 3.3801772499084475
mean time: 3.1237720966339113
Pipeline stage StressChecker completed in 17.20s
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 2.61s
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 2.65s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_4640_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 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-4640-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-4640-v1-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Retrying (%r) after connection broken by '%r': %s
Retrying (%r) after connection broken by '%r': %s
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-4640-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 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-4640-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-4640-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-4640-v1-profiler ready after 40.12721800804138s
Pipeline stage MKMLProfilerDeployer completed in 40.42s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba1a7c730f7873ad9aa33b81e2727ebb8f-deplo8dx9v:/code/chaiverse_profiler_1734424644 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba1a7c730f7873ad9aa33b81e2727ebb8f-deplo8dx9v --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734424644 && 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_1734424644/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba1a7c730f7873ad9aa33b81e2727ebb8f-deplo8dx9v:/code/chaiverse_profiler_1734427420 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba1a7c730f7873ad9aa33b81e2727ebb8f-deplo8dx9v:/code/chaiverse_profiler_1734427420 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba1a7c730f7873ad9aa33b81e2727ebb8f-deplo8dx9v --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734427420 && 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_1734427420/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-4640-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-4640-v1-profiler
Service alexdaoud-trainer-bagir-4640-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.27s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-4640-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.48s
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 alexdaoud-trainer-bagir-4640-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-4640-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-4640-v1-profiler ready after 100.22883892059326s
Pipeline stage MKMLProfilerDeployer completed in 100.53s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba1a7c730f7873ad9aa33b81e2727ebb8f-deplomhbbx:/code/chaiverse_profiler_1734428331 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba1a7c730f7873ad9aa33b81e2727ebb8f-deplomhbbx --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734428331 && 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_1734428331/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba1a7c730f7873ad9aa33b81e2727ebb8f-deplomhbbx:/code/chaiverse_profiler_1734431124 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba1a7c730f7873ad9aa33b81e2727ebb8f-deplomhbbx:/code/chaiverse_profiler_1734431124 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba1a7c730f7873ad9aa33b81e2727ebb8f-deplomhbbx --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734431124 && 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_1734431124/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-4640-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-4640-v1-profiler
Service alexdaoud-trainer-bagir-4640-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.59s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_4640_v1 status is now inactive due to auto deactivation removed underperforming models