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 chaiml-trainer-bajem-20-11618-v3-mkmlizer
Waiting for job on chaiml-trainer-bajem-20-11618-v3-mkmlizer to finish
chaiml-trainer-bajem-20-11618-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-trainer-bajem-20-11618-v3-mkmlizer: ║ _____ __ __ ║
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chaiml-trainer-bajem-20-11618-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-trainer-bajem-20-11618-v3-mkmlizer: ║ /___/ ║
chaiml-trainer-bajem-20-11618-v3-mkmlizer: ║ ║
chaiml-trainer-bajem-20-11618-v3-mkmlizer: ║ Version: 0.12.8 ║
chaiml-trainer-bajem-20-11618-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-trainer-bajem-20-11618-v3-mkmlizer: ║ https://mk1.ai ║
chaiml-trainer-bajem-20-11618-v3-mkmlizer: ║ ║
chaiml-trainer-bajem-20-11618-v3-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-trainer-bajem-20-11618-v3-mkmlizer: ║ belonging to: ║
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chaiml-trainer-bajem-20-11618-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-trainer-bajem-20-11618-v3-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
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chaiml-trainer-bajem-20-11618-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-trainer-bajem-20-11618-v3-mkmlizer: Traceback (most recent call last):
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 536, in _make_request
chaiml-trainer-bajem-20-11618-v3-mkmlizer: response = conn.getresponse()
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 461, in getresponse
chaiml-trainer-bajem-20-11618-v3-mkmlizer: httplib_response = super().getresponse()
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/http/client.py", line 1375, in getresponse
chaiml-trainer-bajem-20-11618-v3-mkmlizer: response.begin()
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/http/client.py", line 318, in begin
chaiml-trainer-bajem-20-11618-v3-mkmlizer: version, status, reason = self._read_status()
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/http/client.py", line 279, in _read_status
chaiml-trainer-bajem-20-11618-v3-mkmlizer: line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/socket.py", line 705, in readinto
chaiml-trainer-bajem-20-11618-v3-mkmlizer: return self._sock.recv_into(b)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/ssl.py", line 1307, in recv_into
chaiml-trainer-bajem-20-11618-v3-mkmlizer: return self.read(nbytes, buffer)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/ssl.py", line 1163, in read
chaiml-trainer-bajem-20-11618-v3-mkmlizer: return self._sslobj.read(len, buffer)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: TimeoutError: The read operation timed out
chaiml-trainer-bajem-20-11618-v3-mkmlizer: The above exception was the direct cause of the following exception:
chaiml-trainer-bajem-20-11618-v3-mkmlizer: Traceback (most recent call last):
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 667, in send
chaiml-trainer-bajem-20-11618-v3-mkmlizer: resp = conn.urlopen(
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 844, in urlopen
chaiml-trainer-bajem-20-11618-v3-mkmlizer: retries = retries.increment(
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/util/retry.py", line 470, in increment
chaiml-trainer-bajem-20-11618-v3-mkmlizer: raise reraise(type(error), error, _stacktrace)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/util/util.py", line 39, in reraise
chaiml-trainer-bajem-20-11618-v3-mkmlizer: raise value
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 790, in urlopen
chaiml-trainer-bajem-20-11618-v3-mkmlizer: response = self._make_request(
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 538, in _make_request
chaiml-trainer-bajem-20-11618-v3-mkmlizer: self._raise_timeout(err=e, url=url, timeout_value=read_timeout)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 370, in _raise_timeout
chaiml-trainer-bajem-20-11618-v3-mkmlizer: raise ReadTimeoutError(
chaiml-trainer-bajem-20-11618-v3-mkmlizer: urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: During handling of the above exception, another exception occurred:
chaiml-trainer-bajem-20-11618-v3-mkmlizer: Traceback (most recent call last):
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1374, in _get_metadata_or_catch_error
chaiml-trainer-bajem-20-11618-v3-mkmlizer: metadata = get_hf_file_metadata(
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
chaiml-trainer-bajem-20-11618-v3-mkmlizer: return fn(*args, **kwargs)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1294, in get_hf_file_metadata
chaiml-trainer-bajem-20-11618-v3-mkmlizer: r = _request_wrapper(
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 278, in _request_wrapper
chaiml-trainer-bajem-20-11618-v3-mkmlizer: response = _request_wrapper(
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 301, in _request_wrapper
chaiml-trainer-bajem-20-11618-v3-mkmlizer: response = get_session().request(method=method, url=url, **params)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 589, in request
chaiml-trainer-bajem-20-11618-v3-mkmlizer: resp = self.send(prep, **send_kwargs)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 703, in send
chaiml-trainer-bajem-20-11618-v3-mkmlizer: r = adapter.send(request, **kwargs)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 93, in send
chaiml-trainer-bajem-20-11618-v3-mkmlizer: return super().send(request, *args, **kwargs)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 713, in send
chaiml-trainer-bajem-20-11618-v3-mkmlizer: raise ReadTimeout(e, request=request)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: d9e752d7-0961-4d64-9c8b-9f2a6d300dc8)')
chaiml-trainer-bajem-20-11618-v3-mkmlizer: The above exception was the direct cause of the following exception:
chaiml-trainer-bajem-20-11618-v3-mkmlizer: Traceback (most recent call last):
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/code/uploading/mkmlize.py", line 193, in <module>
chaiml-trainer-bajem-20-11618-v3-mkmlizer: cli()
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
chaiml-trainer-bajem-20-11618-v3-mkmlizer: return self.main(*args, **kwargs)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
chaiml-trainer-bajem-20-11618-v3-mkmlizer: rv = self.invoke(ctx)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
chaiml-trainer-bajem-20-11618-v3-mkmlizer: return _process_result(sub_ctx.command.invoke(sub_ctx))
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
chaiml-trainer-bajem-20-11618-v3-mkmlizer: return ctx.invoke(self.callback, **ctx.params)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
chaiml-trainer-bajem-20-11618-v3-mkmlizer: return __callback(*args, **kwargs)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/code/uploading/mkmlize.py", line 39, in quantize
chaiml-trainer-bajem-20-11618-v3-mkmlizer: temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/code/uploading/mkmlize.py", line 86, in download_to_shared_memory
chaiml-trainer-bajem-20-11618-v3-mkmlizer: snapshot_download(
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
chaiml-trainer-bajem-20-11618-v3-mkmlizer: return fn(*args, **kwargs)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 294, in snapshot_download
chaiml-trainer-bajem-20-11618-v3-mkmlizer: _inner_hf_hub_download(file)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 270, in _inner_hf_hub_download
chaiml-trainer-bajem-20-11618-v3-mkmlizer: return hf_hub_download(
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
chaiml-trainer-bajem-20-11618-v3-mkmlizer: return fn(*args, **kwargs)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 840, in hf_hub_download
chaiml-trainer-bajem-20-11618-v3-mkmlizer: return _hf_hub_download_to_local_dir(
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1089, in _hf_hub_download_to_local_dir
chaiml-trainer-bajem-20-11618-v3-mkmlizer: _raise_on_head_call_error(head_call_error, force_download, local_files_only)
chaiml-trainer-bajem-20-11618-v3-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1485, in _raise_on_head_call_error
chaiml-trainer-bajem-20-11618-v3-mkmlizer: raise LocalEntryNotFoundError(
chaiml-trainer-bajem-20-11618-v3-mkmlizer: huggingface_hub.errors.LocalEntryNotFoundError: An error happened while trying to locate the file on the Hub and we cannot find the requested files in the local cache. Please check your connection and try again or make sure your Internet connection is on.
Job chaiml-trainer-bajem-20-11618-v3-mkmlizer completed after 67.87s with status: failed
Stopping job with name chaiml-trainer-bajem-20-11618-v3-mkmlizer
%s, retrying in %s seconds...
Starting job with name chaiml-trainer-bajem-20-11618-v3-mkmlizer
Waiting for job on chaiml-trainer-bajem-20-11618-v3-mkmlizer to finish
chaiml-trainer-bajem-20-11618-v3-mkmlizer: Downloaded to shared memory in 28.200s
chaiml-trainer-bajem-20-11618-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp4key4v2i, device:0
chaiml-trainer-bajem-20-11618-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-trainer-bajem-20-11618-v3-mkmlizer: quantized model in 86.882s
chaiml-trainer-bajem-20-11618-v3-mkmlizer: Processed model ChaiML/trainer_bajem_2025-03-06-checkpoint-10 in 115.090s
chaiml-trainer-bajem-20-11618-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-trainer-bajem-20-11618-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-trainer-bajem-20-11618-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-trainer-bajem-20-11618-v3
chaiml-trainer-bajem-20-11618-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-trainer-bajem-20-11618-v3/config.json
chaiml-trainer-bajem-20-11618-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-trainer-bajem-20-11618-v3/special_tokens_map.json
chaiml-trainer-bajem-20-11618-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-trainer-bajem-20-11618-v3/tokenizer_config.json
chaiml-trainer-bajem-20-11618-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-trainer-bajem-20-11618-v3/tokenizer.json
Job chaiml-trainer-bajem-20-11618-v3-mkmlizer completed after 146.51s with status: succeeded
Stopping job with name chaiml-trainer-bajem-20-11618-v3-mkmlizer
Pipeline stage MKMLizer completed in 215.29s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-trainer-bajem-20-11618-v3
Waiting for inference service chaiml-trainer-bajem-20-11618-v3 to be ready
Inference service chaiml-trainer-bajem-20-11618-v3 ready after 120.59874105453491s
Pipeline stage MKMLDeployer completed in 121.17s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.0323712825775146s
Received healthy response to inference request in 1.9842045307159424s
Received healthy response to inference request in 2.9998552799224854s
Received healthy response to inference request in 3.7199172973632812s
Received healthy response to inference request in 3.980860710144043s
5 requests
0 failed requests
5th percentile: 2.187334680557251
10th percentile: 2.3904648303985594
20th percentile: 2.796725130081177
30th percentile: 3.0063584804534913
40th percentile: 3.0193648815155028
50th percentile: 3.0323712825775146
60th percentile: 3.3073896884918215
70th percentile: 3.582408094406128
80th percentile: 3.7721059799194334
90th percentile: 3.876483345031738
95th percentile: 3.928672027587891
99th percentile: 3.9704229736328127
mean time: 3.1434418201446532
Pipeline stage StressChecker completed in 17.22s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.69s
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 0.98s
Shutdown handler de-registered
chaiml-trainer-bajem-20_11618_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 0.15s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-trainer-bajem-20-11618-v3-profiler
Waiting for inference service chaiml-trainer-bajem-20-11618-v3-profiler to be ready
Inference service chaiml-trainer-bajem-20-11618-v3-profiler ready after 110.64805150032043s
Pipeline stage MKMLProfilerDeployer completed in 111.08s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-trainer-bajemc4b9eb7bff8516efa10861153c66feb4-deplovz2hv:/code/chaiverse_profiler_1743303514 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-trainer-bajemc4b9eb7bff8516efa10861153c66feb4-deplovz2hv --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743303514 && 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_1743303514/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-trainer-bajem-20-11618-v3-profiler is running
Tearing down inference service chaiml-trainer-bajem-20-11618-v3-profiler
Service chaiml-trainer-bajem-20-11618-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.53s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
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Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-trainer-bajem-20-11618-v3-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.56s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-trainer-bajem-20-11618-v3-profiler
Waiting for inference service chaiml-trainer-bajem-20-11618-v3-profiler to be ready
Inference service chaiml-trainer-bajem-20-11618-v3-profiler ready after 50.217779874801636s
Pipeline stage MKMLProfilerDeployer completed in 50.58s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-trainer-bajemc4b9eb7bff8516efa10861153c66feb4-deplok6lns:/code/chaiverse_profiler_1743307072 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-trainer-bajemc4b9eb7bff8516efa10861153c66feb4-deplok6lns --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743307072 && 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_1743307072/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-trainer-bajem-20-11618-v3-profiler is running
Tearing down inference service chaiml-trainer-bajem-20-11618-v3-profiler
Service chaiml-trainer-bajem-20-11618-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.61s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-trainer-bajem-20-11618-v3-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.55s
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 chaiml-trainer-bajem-20-11618-v3-profiler
Waiting for inference service chaiml-trainer-bajem-20-11618-v3-profiler to be ready
Inference service chaiml-trainer-bajem-20-11618-v3-profiler ready after 110.41589903831482s
Pipeline stage MKMLProfilerDeployer completed in 110.84s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-trainer-bajemc4b9eb7bff8516efa10861153c66feb4-deplo2z8q9:/code/chaiverse_profiler_1743310745 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-trainer-bajemc4b9eb7bff8516efa10861153c66feb4-deplo2z8q9 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743310745 && 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_1743310745/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-trainer-bajem-20-11618-v3-profiler is running
Tearing down inference service chaiml-trainer-bajem-20-11618-v3-profiler
Service chaiml-trainer-bajem-20-11618-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.48s
Shutdown handler de-registered
chaiml-trainer-bajem-20_11618_v3 status is now inactive due to auto deactivation removed underperforming models