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-1447-v3-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-1447-v3-mkmlizer to finish
Connection pool is full, discarding connection: %s. Connection pool size: %s
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-1447-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ║ _____ __ __ ║
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ║ /___/ ║
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ║ ║
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ║ Version: 0.11.12 ║
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ║ https://mk1.ai ║
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ║ ║
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ║ The license key for the current software has been verified as ║
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ║ belonging to: ║
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ║ ║
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ║ Chai Research Corp. ║
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ║ ║
alexdaoud-trainer-bagir-1447-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-1447-v3-mkmlizer: Downloaded to shared memory in 34.263s
alexdaoud-trainer-bagir-1447-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp8txtiod8, device:0
alexdaoud-trainer-bagir-1447-v3-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-1447-v3-mkmlizer: quantized model in 84.655s
alexdaoud-trainer-bagir-1447-v3-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-1 in 118.917s
alexdaoud-trainer-bagir-1447-v3-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-1447-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1447-v3/config.json
alexdaoud-trainer-bagir-1447-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1447-v3/special_tokens_map.json
alexdaoud-trainer-bagir-1447-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1447-v3/tokenizer_config.json
alexdaoud-trainer-bagir-1447-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1447-v3/tokenizer.json
alexdaoud-trainer-bagir-1447-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1447-v3/flywheel_model.0.safetensors
alexdaoud-trainer-bagir-1447-v3-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, 3.17it/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, 4.55it/s]
Loading 0: 3%|▎ | 10/291 [00:02<00:54, 5.14it/s]
Loading 0: 4%|▍ | 12/291 [00:02<01:04, 4.30it/s]
Loading 0: 4%|▍ | 13/291 [00:03<01:25, 3.24it/s]
Loading 0: 5%|▍ | 14/291 [00:04<01:48, 2.56it/s]
Loading 0: 6%|▌ | 17/291 [00:04<01:02, 4.40it/s]
Loading 0: 6%|▌ | 18/291 [00:04<00:58, 4.65it/s]
Loading 0: 7%|▋ | 19/291 [00:04<00:51, 5.24it/s]
Loading 0: 7%|▋ | 21/291 [00:05<01:01, 4.38it/s]
Loading 0: 8%|▊ | 22/291 [00:05<01:21, 3.30it/s]
Loading 0: 8%|▊ | 23/291 [00:06<01:42, 2.60it/s]
Loading 0: 9%|▉ | 26/291 [00:06<00:59, 4.43it/s]
Loading 0: 9%|▉ | 27/291 [00:06<00:56, 4.66it/s]
Loading 0: 10%|▉ | 28/291 [00:06<00:50, 5.26it/s]
Loading 0: 10%|█ | 30/291 [00:07<00:59, 4.38it/s]
Loading 0: 11%|█ | 31/291 [00:08<01:18, 3.32it/s]
Loading 0: 11%|█ | 32/291 [00:08<01:39, 2.60it/s]
Loading 0: 12%|█▏ | 35/291 [00:08<00:57, 4.43it/s]
Loading 0: 12%|█▏ | 36/291 [00:09<00:54, 4.67it/s]
Loading 0: 13%|█▎ | 37/291 [00:09<00:48, 5.26it/s]
Loading 0: 13%|█▎ | 39/291 [00:09<00:57, 4.41it/s]
Loading 0: 14%|█▎ | 40/291 [00:10<01:15, 3.33it/s]
Loading 0: 14%|█▍ | 41/291 [00:10<01:35, 2.63it/s]
Loading 0: 15%|█▌ | 44/291 [00:11<00:55, 4.46it/s]
Loading 0: 15%|█▌ | 45/291 [00:11<00:52, 4.70it/s]
Loading 0: 16%|█▌ | 46/291 [00:11<00:47, 5.21it/s]
Loading 0: 16%|█▋ | 48/291 [00:12<00:55, 4.40it/s]
Loading 0: 17%|█▋ | 49/291 [00:12<01:12, 3.33it/s]
Loading 0: 17%|█▋ | 50/291 [00:13<01:32, 2.61it/s]
Loading 0: 18%|█▊ | 53/291 [00:13<00:53, 4.44it/s]
Loading 0: 19%|█▊ | 54/291 [00:13<00:50, 4.68it/s]
Loading 0: 19%|█▉ | 55/291 [00:13<00:44, 5.26it/s]
Loading 0: 20%|█▉ | 57/291 [00:14<00:53, 4.41it/s]
Loading 0: 20%|█▉ | 58/291 [00:14<01:09, 3.33it/s]
Loading 0: 20%|██ | 59/291 [00:15<01:28, 2.61it/s]
Loading 0: 21%|██▏ | 62/291 [00:15<00:51, 4.47it/s]
Loading 0: 22%|██▏ | 63/291 [00:15<00:48, 4.71it/s]
Loading 0: 22%|██▏ | 64/291 [00:15<00:42, 5.30it/s]
Loading 0: 23%|██▎ | 66/291 [00:16<00:51, 4.37it/s]
Loading 0: 23%|██▎ | 67/291 [00:17<01:07, 3.30it/s]
Loading 0: 23%|██▎ | 68/291 [00:17<01:25, 2.59it/s]
Loading 0: 24%|██▍ | 71/291 [00:18<00:49, 4.41it/s]
Loading 0: 25%|██▍ | 72/291 [00:18<00:47, 4.65it/s]
Loading 0: 25%|██▌ | 73/291 [00:18<00:41, 5.24it/s]
Loading 0: 26%|██▌ | 75/291 [00:18<00:49, 4.40it/s]
Loading 0: 26%|██▌ | 76/291 [00:19<01:04, 3.31it/s]
Loading 0: 26%|██▋ | 77/291 [00:20<01:21, 2.61it/s]
Loading 0: 27%|██▋ | 80/291 [00:20<00:46, 4.49it/s]
Loading 0: 28%|██▊ | 81/291 [00:20<00:44, 4.72it/s]
Loading 0: 29%|██▊ | 83/291 [00:20<00:37, 5.53it/s]
Loading 0: 29%|██▉ | 84/291 [00:21<00:53, 3.86it/s]
Loading 0: 29%|██▉ | 85/291 [00:21<01:07, 3.03it/s]
Loading 0: 30%|██▉ | 86/291 [00:22<01:22, 2.47it/s]
Loading 0: 31%|███ | 89/291 [00:22<00:47, 4.30it/s]
Loading 0: 31%|███ | 90/291 [00:22<00:44, 4.56it/s]
Loading 0: 31%|███▏ | 91/291 [00:22<00:38, 5.15it/s]
Loading 0: 32%|███▏ | 93/291 [00:23<00:45, 4.37it/s]
Loading 0: 32%|███▏ | 94/291 [00:24<00:59, 3.31it/s]
Loading 0: 33%|███▎ | 95/291 [00:24<01:14, 2.64it/s]
Loading 0: 34%|███▎ | 98/291 [00:24<00:43, 4.48it/s]
Loading 0: 34%|███▍ | 99/291 [00:25<00:40, 4.73it/s]
Loading 0: 34%|███▍ | 100/291 [00:25<00:35, 5.33it/s]
Loading 0: 35%|███▌ | 102/291 [00:25<00:42, 4.43it/s]
Loading 0: 35%|███▌ | 103/291 [00:26<00:56, 3.33it/s]
Loading 0: 36%|███▌ | 104/291 [00:26<01:11, 2.61it/s]
Loading 0: 37%|███▋ | 107/291 [00:27<00:41, 4.48it/s]
Loading 0: 37%|███▋ | 108/291 [00:27<00:38, 4.71it/s]
Loading 0: 37%|███▋ | 109/291 [00:27<00:34, 5.30it/s]
Loading 0: 38%|███▊ | 111/291 [00:28<00:40, 4.41it/s]
Loading 0: 38%|███▊ | 112/291 [00:28<00:54, 3.31it/s]
Loading 0: 39%|███▉ | 113/291 [00:29<01:08, 2.60it/s]
Loading 0: 40%|███▉ | 116/291 [00:29<00:39, 4.42it/s]
Loading 0: 40%|████ | 117/291 [00:29<00:37, 4.67it/s]
Loading 0: 41%|████ | 118/291 [00:29<00:32, 5.25it/s]
Loading 0: 41%|████ | 120/291 [00:30<00:38, 4.40it/s]
Loading 0: 42%|████▏ | 121/291 [00:30<00:51, 3.32it/s]
Loading 0: 42%|████▏ | 122/291 [00:31<01:04, 2.63it/s]
Loading 0: 43%|████▎ | 125/291 [00:31<00:37, 4.46it/s]
Loading 0: 43%|████▎ | 126/291 [00:31<00:35, 4.70it/s]
Loading 0: 44%|████▎ | 127/291 [00:31<00:31, 5.18it/s]
Loading 0: 44%|████▍ | 129/291 [00:32<00:36, 4.40it/s]
Loading 0: 45%|████▍ | 130/291 [00:33<00:48, 3.32it/s]
Loading 0: 45%|████▌ | 131/291 [00:33<01:00, 2.62it/s]
Loading 0: 46%|████▌ | 134/291 [00:33<00:34, 4.50it/s]
Loading 0: 46%|████▋ | 135/291 [00:34<00:32, 4.74it/s]
Loading 0: 47%|████▋ | 136/291 [00:34<00:29, 5.32it/s]
Loading 0: 47%|████▋ | 138/291 [00:34<00:34, 4.48it/s]
Loading 0: 48%|████▊ | 139/291 [00:35<00:44, 3.40it/s]
Loading 0: 48%|████▊ | 140/291 [00:35<00:56, 2.67it/s]
Loading 0: 49%|████▉ | 143/291 [00:36<00:32, 4.59it/s]
Loading 0: 49%|████▉ | 144/291 [00:36<00:30, 4.83it/s]
Loading 0: 50%|████▉ | 145/291 [00:36<00:26, 5.42it/s]
Loading 0: 51%|█████ | 147/291 [00:36<00:31, 4.51it/s]
Loading 0: 51%|█████ | 148/291 [00:37<00:42, 3.40it/s]
Loading 0: 51%|█████ | 149/291 [00:38<00:52, 2.68it/s]
Loading 0: 52%|█████▏ | 152/291 [00:38<00:30, 4.61it/s]
Loading 0: 53%|█████▎ | 153/291 [00:38<00:28, 4.84it/s]
Loading 0: 53%|█████▎ | 154/291 [00:38<00:25, 5.41it/s]
Loading 0: 54%|█████▎ | 156/291 [00:39<00:29, 4.52it/s]
Loading 0: 54%|█████▍ | 157/291 [00:39<00:39, 3.40it/s]
Loading 0: 54%|█████▍ | 158/291 [00:40<00:49, 2.70it/s]
Loading 0: 55%|█████▌ | 161/291 [00:40<00:28, 4.59it/s]
Loading 0: 56%|█████▌ | 162/291 [00:40<00:26, 4.84it/s]
Loading 0: 56%|█████▌ | 163/291 [00:40<00:23, 5.43it/s]
Loading 0: 57%|█████▋ | 165/291 [00:41<00:27, 4.53it/s]
Loading 0: 57%|█████▋ | 166/291 [00:41<00:36, 3.42it/s]
Loading 0: 57%|█████▋ | 167/291 [00:42<00:45, 2.71it/s]
Loading 0: 58%|█████▊ | 170/291 [00:42<00:26, 4.58it/s]
Loading 0: 59%|█████▉ | 171/291 [00:42<00:24, 4.82it/s]
Loading 0: 59%|█████▉ | 172/291 [00:43<00:22, 5.39it/s]
Loading 0: 59%|█████▉ | 173/291 [00:43<00:32, 3.66it/s]
Loading 0: 60%|██████ | 175/291 [00:43<00:23, 5.01it/s]
Loading 0: 60%|██████ | 176/291 [00:43<00:22, 5.22it/s]
Loading 0: 61%|██████ | 177/291 [00:44<00:19, 5.83it/s]
Loading 0: 62%|██████▏ | 179/291 [00:44<00:24, 4.64it/s]
Loading 0: 62%|██████▏ | 180/291 [00:45<00:32, 3.41it/s]
Loading 0: 62%|██████▏ | 181/291 [00:45<00:41, 2.67it/s]
Loading 0: 63%|██████▎ | 184/291 [00:45<00:23, 4.62it/s]
Loading 0: 64%|██████▎ | 185/291 [00:46<00:21, 4.87it/s]
Loading 0: 64%|██████▍ | 186/291 [00:46<00:19, 5.46it/s]
Loading 0: 64%|██████▍ | 187/291 [00:46<00:18, 5.73it/s]
Loading 0: 65%|██████▍ | 188/291 [00:46<00:28, 3.67it/s]
Loading 0: 65%|██████▍ | 189/291 [00:47<00:37, 2.72it/s]
Loading 0: 66%|██████▌ | 192/291 [00:48<00:26, 3.69it/s]
Loading 0: 66%|██████▋ | 193/291 [00:48<00:32, 3.03it/s]
Loading 0: 67%|██████▋ | 194/291 [00:49<00:38, 2.50it/s]
Loading 0: 68%|██████▊ | 197/291 [00:49<00:22, 4.23it/s]
Loading 0: 68%|██████▊ | 198/291 [00:49<00:20, 4.51it/s]
Loading 0: 68%|██████▊ | 199/291 [00:49<00:18, 5.08it/s]
Loading 0: 69%|██████▉ | 201/291 [00:50<00:20, 4.39it/s]
Loading 0: 69%|██████▉ | 202/291 [00:50<00:26, 3.36it/s]
Loading 0: 70%|██████▉ | 203/291 [00:51<00:32, 2.68it/s]
Loading 0: 71%|███████ | 206/291 [00:51<00:18, 4.54it/s]
Loading 0: 71%|███████ | 207/291 [00:51<00:17, 4.79it/s]
Loading 0: 71%|███████▏ | 208/291 [00:52<00:15, 5.38it/s]
Loading 0: 72%|███████▏ | 210/291 [00:52<00:17, 4.52it/s]
Loading 0: 73%|███████▎ | 211/291 [00:53<00:23, 3.41it/s]
Loading 0: 73%|███████▎ | 212/291 [00:53<00:29, 2.69it/s]
Loading 0: 74%|███████▍ | 215/291 [00:53<00:16, 4.55it/s]
Loading 0: 74%|███████▍ | 216/291 [00:54<00:15, 4.79it/s]
Loading 0: 75%|███████▍ | 217/291 [00:54<00:13, 5.29it/s]
Loading 0: 75%|███████▌ | 219/291 [00:54<00:16, 4.46it/s]
Loading 0: 76%|███████▌ | 220/291 [00:55<00:21, 3.38it/s]
Loading 0: 76%|███████▌ | 221/291 [00:56<00:26, 2.68it/s]
Loading 0: 77%|███████▋ | 224/291 [00:56<00:14, 4.54it/s]
Loading 0: 77%|███████▋ | 225/291 [00:56<00:13, 4.79it/s]
Loading 0: 78%|███████▊ | 226/291 [00:56<00:12, 5.34it/s]
Loading 0: 78%|███████▊ | 228/291 [00:57<00:14, 4.48it/s]
Loading 0: 79%|███████▊ | 229/291 [00:57<00:18, 3.37it/s]
Loading 0: 79%|███████▉ | 230/291 [00:58<00:23, 2.65it/s]
Loading 0: 80%|████████ | 233/291 [00:58<00:12, 4.54it/s]
Loading 0: 80%|████████ | 234/291 [00:58<00:11, 4.77it/s]
Loading 0: 81%|████████ | 235/291 [00:58<00:10, 5.33it/s]
Loading 0: 81%|████████▏ | 237/291 [00:59<00:12, 4.45it/s]
Loading 0: 82%|████████▏ | 238/291 [00:59<00:15, 3.35it/s]
Loading 0: 82%|████████▏ | 239/291 [01:00<00:19, 2.66it/s]
Loading 0: 83%|████████▎ | 242/291 [01:00<00:10, 4.50it/s]
Loading 0: 84%|████████▎ | 243/291 [01:00<00:10, 4.73it/s]
Loading 0: 84%|████████▍ | 244/291 [01:00<00:08, 5.23it/s]
Loading 0: 85%|████████▍ | 246/291 [01:01<00:10, 4.41it/s]
Loading 0: 85%|████████▍ | 247/291 [01:02<00:13, 3.35it/s]
Loading 0: 85%|████████▌ | 248/291 [01:02<00:16, 2.66it/s]
Loading 0: 86%|████████▋ | 251/291 [01:02<00:08, 4.53it/s]
Loading 0: 87%|████████▋ | 252/291 [01:03<00:08, 4.76it/s]
Loading 0: 87%|████████▋ | 253/291 [01:03<00:07, 5.35it/s]
Loading 0: 88%|████████▊ | 255/291 [01:03<00:08, 4.48it/s]
Loading 0: 88%|████████▊ | 256/291 [01:04<00:10, 3.38it/s]
Loading 0: 88%|████████▊ | 257/291 [01:04<00:12, 2.68it/s]
Loading 0: 89%|████████▉ | 260/291 [01:05<00:06, 4.55it/s]
Loading 0: 90%|████████▉ | 261/291 [01:05<00:06, 4.78it/s]
Loading 0: 90%|█████████ | 262/291 [01:05<00:05, 5.36it/s]
Loading 0: 91%|█████████ | 264/291 [01:05<00:06, 4.48it/s]
Loading 0: 91%|█████████ | 265/291 [01:06<00:07, 3.38it/s]
Loading 0: 91%|█████████▏| 266/291 [01:07<00:09, 2.67it/s]
Loading 0: 92%|█████████▏| 269/291 [01:07<00:04, 4.59it/s]
Loading 0: 93%|█████████▎| 270/291 [01:07<00:04, 4.82it/s]
Loading 0: 93%|█████████▎| 271/291 [01:07<00:03, 5.42it/s]
Loading 0: 94%|█████████▍| 273/291 [01:08<00:03, 4.50it/s]
Loading 0: 94%|█████████▍| 274/291 [01:08<00:05, 3.38it/s]
Loading 0: 95%|█████████▍| 275/291 [01:09<00:06, 2.65it/s]
Loading 0: 96%|█████████▌| 278/291 [01:09<00:02, 4.50it/s]
Loading 0: 96%|█████████▌| 279/291 [01:09<00:02, 4.73it/s]
Loading 0: 96%|█████████▌| 280/291 [01:09<00:02, 5.30it/s]
Loading 0: 97%|█████████▋| 281/291 [01:10<00:02, 3.58it/s]
Loading 0: 97%|█████████▋| 282/291 [01:11<00:03, 2.69it/s]
Loading 0: 98%|█████████▊| 284/291 [01:11<00:01, 3.93it/s]
Loading 0: 98%|█████████▊| 285/291 [01:11<00:01, 4.27it/s]
Loading 0: 98%|█████████▊| 286/291 [01:11<00:01, 4.89it/s]
Loading 0: 99%|█████████▊| 287/291 [01:11<00:00, 5.02it/s]
Loading 0: 99%|█████████▉| 288/291 [01:12<00:00, 3.36it/s]
Job alexdaoud-trainer-bagir-1447-v3-mkmlizer completed after 247.13s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-1447-v3-mkmlizer
Pipeline stage MKMLizer completed in 247.60s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service alexdaoud-trainer-bagir-1447-v3
Waiting for inference service alexdaoud-trainer-bagir-1447-v3 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service alexdaoud-trainer-bagir-1447-v3 ready after 281.10958337783813s
Pipeline stage MKMLDeployer completed in 281.73s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 5.175945997238159s
Received healthy response to inference request in 3.8103885650634766s
Received healthy response to inference request in 3.7849998474121094s
Received healthy response to inference request in 4.3895134925842285s
Received healthy response to inference request in 2.727621555328369s
5 requests
0 failed requests
5th percentile: 2.939097213745117
10th percentile: 3.1505728721618653
20th percentile: 3.5735241889953615
30th percentile: 3.7900775909423827
40th percentile: 3.80023307800293
50th percentile: 3.8103885650634766
60th percentile: 4.042038536071777
70th percentile: 4.273688507080078
80th percentile: 4.546799993515015
90th percentile: 4.861372995376587
95th percentile: 5.0186594963073725
99th percentile: 5.144488697052002
mean time: 3.9776938915252686
%s, retrying in %s seconds...
Received healthy response to inference request in 3.401933193206787s
Received healthy response to inference request in 5.511561632156372s
Received healthy response to inference request in 3.084829092025757s
Received healthy response to inference request in 2.5856194496154785s
Received healthy response to inference request in 3.4310567378997803s
5 requests
0 failed requests
5th percentile: 2.6854613780975343
10th percentile: 2.78530330657959
20th percentile: 2.984987163543701
30th percentile: 3.1482499122619627
40th percentile: 3.275091552734375
50th percentile: 3.401933193206787
60th percentile: 3.413582611083984
70th percentile: 3.4252320289611817
80th percentile: 3.847157716751099
90th percentile: 4.679359674453735
95th percentile: 5.095460653305054
99th percentile: 5.428341436386108
mean time: 3.603000020980835
Pipeline stage StressChecker completed in 40.59s
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 0.65s
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 0.65s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_1447_v3 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 0.13s
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-1447-v3-profiler
Waiting for inference service alexdaoud-trainer-bagir-1447-v3-profiler to be ready
Inference service alexdaoud-trainer-bagir-1447-v3-profiler ready after 280.69980001449585s
Pipeline stage MKMLProfilerDeployer completed in 281.07s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba7d9eaaa0d65e339ffa45c4b144bde971-deplovkg74:/code/chaiverse_profiler_1735274128 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba7d9eaaa0d65e339ffa45c4b144bde971-deplovkg74 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1735274128 && 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_1735274128/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba7d9eaaa0d65e339ffa45c4b144bde971-deplovkg74:/code/chaiverse_profiler_1735276904 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba7d9eaaa0d65e339ffa45c4b144bde971-deplovkg74 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1735276904 && 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_1735276904/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1447-v3-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-1447-v3-profiler
Service alexdaoud-trainer-bagir-1447-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.95s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1447-v3-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 3.31s
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-1447-v3-profiler
Waiting for inference service alexdaoud-trainer-bagir-1447-v3-profiler to be ready
Inference service alexdaoud-trainer-bagir-1447-v3-profiler ready after 30.10330057144165s
Pipeline stage MKMLProfilerDeployer completed in 30.38s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba7d9eaaa0d65e339ffa45c4b144bde971-deplo7v4f8:/code/chaiverse_profiler_1735277497 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba7d9eaaa0d65e339ffa45c4b144bde971-deplo7v4f8 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1735277497 && 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_1735277497/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba7d9eaaa0d65e339ffa45c4b144bde971-deplo7v4f8:/code/chaiverse_profiler_1735280273 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba7d9eaaa0d65e339ffa45c4b144bde971-deplo7v4f8:/code/chaiverse_profiler_1735280273 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba7d9eaaa0d65e339ffa45c4b144bde971-deplo7v4f8 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1735280273 && 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_1735280273/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1447-v3-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-1447-v3-profiler
Service alexdaoud-trainer-bagir-1447-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.94s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1447-v3-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 3.13s
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-1447-v3-profiler
Waiting for inference service alexdaoud-trainer-bagir-1447-v3-profiler to be ready
Inference service alexdaoud-trainer-bagir-1447-v3-profiler ready after 240.53163123130798s
Pipeline stage MKMLProfilerDeployer completed in 240.88s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba7d9eaaa0d65e339ffa45c4b144bde971-deplog4h7j:/code/chaiverse_profiler_1735281321 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba7d9eaaa0d65e339ffa45c4b144bde971-deplog4h7j --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1735281321 && 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_1735281321/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba7d9eaaa0d65e339ffa45c4b144bde971-deplog4h7j:/code/chaiverse_profiler_1735284097 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba7d9eaaa0d65e339ffa45c4b144bde971-deplog4h7j --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1735284097 && 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_1735284097/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1447-v3-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-1447-v3-profiler
Service alexdaoud-trainer-bagir-1447-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 3.10s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_1447_v3 status is now inactive due to auto deactivation removed underperforming models
alexdaoud-trainer-bagir-_1447_v3 status is now torndown due to DeploymentManager action
alexdaoud-trainer-bagir-_1447_v3 status is now torndown due to DeploymentManager action
alexdaoud-trainer-bagir-_1447_v3 status is now torndown due to DeploymentManager action