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 junhua024-chai-1-full-94469-v102-mkmlizer
Waiting for job on junhua024-chai-1-full-94469-v102-mkmlizer to finish
junhua024-chai-1-full-94469-v102-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ belonging to: ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-94469-v102-mkmlizer: Traceback (most recent call last):
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 203, in _new_conn
junhua024-chai-1-full-94469-v102-mkmlizer: sock = connection.create_connection(
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/util/connection.py", line 60, in create_connection
junhua024-chai-1-full-94469-v102-mkmlizer: for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM):
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/socket.py", line 955, in getaddrinfo
junhua024-chai-1-full-94469-v102-mkmlizer: for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
junhua024-chai-1-full-94469-v102-mkmlizer: socket.gaierror: [Errno -3] Temporary failure in name resolution
junhua024-chai-1-full-94469-v102-mkmlizer: The above exception was the direct cause of the following exception:
junhua024-chai-1-full-94469-v102-mkmlizer: Traceback (most recent call last):
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 790, in urlopen
junhua024-chai-1-full-94469-v102-mkmlizer: response = self._make_request(
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 491, in _make_request
junhua024-chai-1-full-94469-v102-mkmlizer: raise new_e
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 467, in _make_request
junhua024-chai-1-full-94469-v102-mkmlizer: self._validate_conn(conn)
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 1096, in _validate_conn
junhua024-chai-1-full-94469-v102-mkmlizer: conn.connect()
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 611, in connect
junhua024-chai-1-full-94469-v102-mkmlizer: self.sock = sock = self._new_conn()
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 210, in _new_conn
junhua024-chai-1-full-94469-v102-mkmlizer: raise NameResolutionError(self.host, self, e) from e
junhua024-chai-1-full-94469-v102-mkmlizer: urllib3.exceptions.NameResolutionError: <urllib3.connection.HTTPSConnection object at 0x797631b08be0>: Failed to resolve 'huggingface.co' ([Errno -3] Temporary failure in name resolution)
junhua024-chai-1-full-94469-v102-mkmlizer: The above exception was the direct cause of the following exception:
junhua024-chai-1-full-94469-v102-mkmlizer: Traceback (most recent call last):
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 667, in send
junhua024-chai-1-full-94469-v102-mkmlizer: resp = conn.urlopen(
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 844, in urlopen
junhua024-chai-1-full-94469-v102-mkmlizer: retries = retries.increment(
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/util/retry.py", line 515, in increment
junhua024-chai-1-full-94469-v102-mkmlizer: raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type]
junhua024-chai-1-full-94469-v102-mkmlizer: urllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /api/models/junhua024/chai-1-full-066126/paths-info/main (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x797631b08be0>: Failed to resolve 'huggingface.co' ([Errno -3] Temporary failure in name resolution)"))
junhua024-chai-1-full-94469-v102-mkmlizer: During handling of the above exception, another exception occurred:
junhua024-chai-1-full-94469-v102-mkmlizer: Traceback (most recent call last):
junhua024-chai-1-full-94469-v102-mkmlizer: File "/code/uploading/mkmlize.py", line 225, in <module>
junhua024-chai-1-full-94469-v102-mkmlizer: cli()
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
junhua024-chai-1-full-94469-v102-mkmlizer: return self.main(*args, **kwargs)
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
junhua024-chai-1-full-94469-v102-mkmlizer: rv = self.invoke(ctx)
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
junhua024-chai-1-full-94469-v102-mkmlizer: return _process_result(sub_ctx.command.invoke(sub_ctx))
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
junhua024-chai-1-full-94469-v102-mkmlizer: return ctx.invoke(self.callback, **ctx.params)
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
junhua024-chai-1-full-94469-v102-mkmlizer: return __callback(*args, **kwargs)
junhua024-chai-1-full-94469-v102-mkmlizer: File "/code/uploading/mkmlize.py", line 41, in quantize
junhua024-chai-1-full-94469-v102-mkmlizer: temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
junhua024-chai-1-full-94469-v102-mkmlizer: File "/code/uploading/mkmlize.py", line 86, in download_to_shared_memory
junhua024-chai-1-full-94469-v102-mkmlizer: if repo_has_model_safetensors(repo_id, revision, token):
junhua024-chai-1-full-94469-v102-mkmlizer: File "/code/uploading/mkmlize.py", line 109, in repo_has_model_safetensors
junhua024-chai-1-full-94469-v102-mkmlizer: files = [f.path for f in get_paths_info(repo_id, revision=revision, paths=["/"], token=token)]
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
junhua024-chai-1-full-94469-v102-mkmlizer: return fn(*args, **kwargs)
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/hf_api.py", line 3354, in get_paths_info
junhua024-chai-1-full-94469-v102-mkmlizer: response = get_session().post(
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 637, in post
junhua024-chai-1-full-94469-v102-mkmlizer: return self.request("POST", url, data=data, json=json, **kwargs)
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 589, in request
junhua024-chai-1-full-94469-v102-mkmlizer: resp = self.send(prep, **send_kwargs)
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 703, in send
junhua024-chai-1-full-94469-v102-mkmlizer: r = adapter.send(request, **kwargs)
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 96, in send
junhua024-chai-1-full-94469-v102-mkmlizer: return super().send(request, *args, **kwargs)
junhua024-chai-1-full-94469-v102-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 700, in send
junhua024-chai-1-full-94469-v102-mkmlizer: raise ConnectionError(e, request=request)
junhua024-chai-1-full-94469-v102-mkmlizer: requests.exceptions.ConnectionError: (MaxRetryError('HTTPSConnectionPool(host=\'huggingface.co\', port=443): Max retries exceeded with url: /api/models/junhua024/chai-1-full-066126/paths-info/main (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x797631b08be0>: Failed to resolve \'huggingface.co\' ([Errno -3] Temporary failure in name resolution)"))'), '(Request ID: 6a0fa6cf-3aa4-4f11-975e-aa1102a69c98)')
Job junhua024-chai-1-full-94469-v102-mkmlizer completed after 27.47s with status: failed
Stopping job with name junhua024-chai-1-full-94469-v102-mkmlizer
%s, retrying in %s seconds...
Starting job with name junhua024-chai-1-full-94469-v102-mkmlizer
Waiting for job on junhua024-chai-1-full-94469-v102-mkmlizer to finish
junhua024-chai-1-full-94469-v102-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ belonging to: ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-1-full-94469-v102-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v102-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v102-mkmlizer: quantized model in 33.790s
junhua024-chai-1-full-94469-v102-mkmlizer: Processed model junhua024/chai-1-full-066126 in 114.184s
junhua024-chai-1-full-94469-v102-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-94469-v102-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-94469-v102-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v102/nvidia
junhua024-chai-1-full-94469-v102-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v102/nvidia/config.json
junhua024-chai-1-full-94469-v102-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v102/nvidia/special_tokens_map.json
junhua024-chai-1-full-94469-v102-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v102/nvidia/tokenizer_config.json
junhua024-chai-1-full-94469-v102-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v102/nvidia/tokenizer.json
junhua024-chai-1-full-94469-v102-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v102/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-94469-v102-mkmlizer:
Loading 0: 0%| | 0/363 [00:00<?, ?it/s]
Loading 0: 1%| | 2/363 [00:00<00:25, 13.91it/s]
Loading 0: 1%|▏ | 5/363 [00:00<00:22, 15.88it/s]
Loading 0: 3%|▎ | 11/363 [00:00<00:12, 28.40it/s]
Loading 0: 4%|▍ | 15/363 [00:00<00:11, 30.34it/s]
Loading 0: 5%|▌ | 19/363 [00:00<00:13, 24.60it/s]
Loading 0: 6%|▋ | 23/363 [00:00<00:13, 25.00it/s]
Loading 0: 8%|▊ | 29/363 [00:01<00:10, 31.65it/s]
Loading 0: 9%|▉ | 34/363 [00:01<00:10, 30.52it/s]
Loading 0: 10%|█ | 38/363 [00:01<00:10, 31.29it/s]
Loading 0: 12%|█▏ | 42/363 [00:01<00:10, 30.52it/s]
Loading 0: 14%|█▍ | 50/363 [00:01<00:08, 37.48it/s]
Loading 0: 15%|█▍ | 54/363 [00:01<00:10, 28.61it/s]
Loading 0: 16%|█▋ | 59/363 [00:02<00:10, 29.58it/s]
Loading 0: 18%|█▊ | 64/363 [00:02<00:09, 31.80it/s]
Loading 0: 19%|█▊ | 68/363 [00:02<00:12, 24.53it/s]
Loading 0: 21%|██ | 75/363 [00:02<00:10, 28.65it/s]
Loading 0: 22%|██▏ | 80/363 [00:02<00:10, 28.03it/s]
Loading 0: 24%|██▎ | 86/363 [00:02<00:08, 33.23it/s]
Loading 0: 25%|██▌ | 91/363 [00:03<00:08, 33.53it/s]
Loading 0: 27%|██▋ | 97/363 [00:03<00:07, 34.47it/s]
Loading 0: 28%|██▊ | 101/363 [00:03<00:07, 33.50it/s]
Loading 0: 29%|██▉ | 105/363 [00:03<00:08, 31.40it/s]
Loading 0: 31%|███ | 111/363 [00:03<00:06, 37.70it/s]
Loading 0: 32%|███▏ | 116/363 [00:03<00:07, 31.93it/s]
Loading 0: 33%|███▎ | 120/363 [00:03<00:07, 32.05it/s]
Loading 0: 34%|███▍ | 124/363 [00:04<00:07, 32.58it/s]
Loading 0: 35%|███▌ | 128/363 [00:04<00:08, 27.35it/s]
Loading 0: 36%|███▌ | 131/363 [00:04<00:09, 25.63it/s]
Loading 0: 38%|███▊ | 137/363 [00:04<00:06, 32.83it/s]
Loading 0: 39%|███▉ | 142/363 [00:04<00:06, 32.89it/s]
Loading 0: 40%|████ | 146/363 [00:04<00:06, 33.59it/s]
Loading 0: 41%|████▏ | 150/363 [00:04<00:07, 30.33it/s]
Loading 0: 42%|████▏ | 154/363 [00:05<00:06, 31.82it/s]
Loading 0: 44%|████▍ | 159/363 [00:05<00:05, 35.19it/s]
Loading 0: 45%|████▍ | 163/363 [00:05<00:07, 28.38it/s]
Loading 0: 46%|████▌ | 167/363 [00:05<00:07, 27.05it/s]
Loading 0: 48%|████▊ | 176/363 [00:05<00:05, 36.85it/s]
Loading 0: 50%|████▉ | 180/363 [00:05<00:06, 29.98it/s]
Loading 0: 51%|█████ | 185/363 [00:06<00:05, 30.89it/s]
Loading 0: 53%|█████▎ | 191/363 [00:06<00:05, 33.05it/s]
Loading 0: 54%|█████▎ | 195/363 [00:06<00:05, 31.99it/s]
Loading 0: 55%|█████▌ | 201/363 [00:06<00:05, 32.17it/s]
Loading 0: 57%|█████▋ | 206/363 [00:06<00:05, 30.56it/s]
Loading 0: 58%|█████▊ | 212/363 [00:06<00:04, 31.28it/s]
Loading 0: 60%|██████ | 218/363 [00:07<00:04, 35.92it/s]
Loading 0: 61%|██████▏ | 223/363 [00:07<00:04, 34.57it/s]
Loading 0: 63%|██████▎ | 227/363 [00:07<00:03, 34.09it/s]
Loading 0: 64%|██████▎ | 231/363 [00:07<00:04, 31.98it/s]
Loading 0: 66%|██████▌ | 239/363 [00:07<00:03, 38.16it/s]
Loading 0: 67%|██████▋ | 243/363 [00:07<00:04, 29.73it/s]
Loading 0: 68%|██████▊ | 248/363 [00:08<00:03, 29.32it/s]
Loading 0: 70%|██████▉ | 253/363 [00:08<00:03, 32.84it/s]
Loading 0: 71%|███████ | 257/363 [00:08<00:03, 27.01it/s]
Loading 0: 72%|███████▏ | 263/363 [00:08<00:02, 33.35it/s]
Loading 0: 74%|███████▎ | 267/363 [00:08<00:02, 33.56it/s]
Loading 0: 75%|███████▍ | 271/363 [00:08<00:03, 29.58it/s]
Loading 0: 76%|███████▌ | 275/363 [00:08<00:03, 28.41it/s]
Loading 0: 77%|███████▋ | 281/363 [00:09<00:02, 35.09it/s]
Loading 0: 79%|███████▉ | 286/363 [00:09<00:02, 33.41it/s]
Loading 0: 80%|███████▉ | 290/363 [00:09<00:02, 31.21it/s]
Loading 0: 81%|████████ | 294/363 [00:09<00:02, 29.75it/s]
Loading 0: 83%|████████▎ | 302/363 [00:09<00:01, 36.31it/s]
Loading 0: 84%|████████▍ | 306/363 [00:09<00:01, 29.29it/s]
Loading 0: 86%|████████▌ | 311/363 [00:09<00:01, 30.89it/s]
Loading 0: 87%|████████▋ | 317/363 [00:10<00:01, 32.34it/s]
Loading 0: 88%|████████▊ | 321/363 [00:10<00:01, 30.66it/s]
Loading 0: 90%|█████████ | 327/363 [00:10<00:01, 30.72it/s]
Loading 0: 91%|█████████▏| 332/363 [00:10<00:01, 30.30it/s]
Loading 0: 93%|█████████▎| 338/363 [00:10<00:00, 29.97it/s]
Loading 0: 94%|█████████▍| 343/363 [00:10<00:00, 33.66it/s]
Loading 0: 96%|█████████▌| 348/363 [00:11<00:00, 36.42it/s]
Loading 0: 97%|█████████▋| 352/363 [00:11<00:00, 18.51it/s]
Loading 0: 98%|█████████▊| 357/363 [00:11<00:00, 21.43it/s]
Job junhua024-chai-1-full-94469-v102-mkmlizer completed after 140.68s with status: succeeded
Stopping job with name junhua024-chai-1-full-94469-v102-mkmlizer
Pipeline stage MKMLizer completed in 169.83s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-94469-v102
Waiting for inference service junhua024-chai-1-full-94469-v102 to be ready
Inference service junhua024-chai-1-full-94469-v102 ready after 260.9559214115143s
Pipeline stage MKMLDeployer completed in 261.75s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.356678009033203s
Received healthy response to inference request in 1.8162388801574707s
Received healthy response to inference request in 2.0165936946868896s
Received healthy response to inference request in 1.5697219371795654s
Received healthy response to inference request in 1.6806130409240723s
5 requests
0 failed requests
5th percentile: 1.5919001579284668
10th percentile: 1.6140783786773683
20th percentile: 1.6584348201751709
30th percentile: 1.707738208770752
40th percentile: 1.7619885444641112
50th percentile: 1.8162388801574707
60th percentile: 1.8963808059692382
70th percentile: 1.976522731781006
80th percentile: 2.0846105575561524
90th percentile: 2.2206442832946776
95th percentile: 2.2886611461639403
99th percentile: 2.3430746364593507
mean time: 1.8879691123962403
Pipeline stage StressChecker completed in 11.50s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 1.14s
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 0.77s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v102 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
junhua024-chai-1-full_94469_v102 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full_94469_v102 status is now torndown due to DeploymentManager action
junhua024-chai-1-full_94469_v102 status is now torndown due to DeploymentManager action