Du lette etter:

no module named 'sagemaker_containers'

No module named 'sagemaker-containers' - RoseIndia.Net
https://www.roseindia.net › viewqa
Hi, My Python program is throwing following error: ModuleNotFoundError: No module named 'sagemaker-containers' How to remove t.
PyTorch HPO example failing · Issue #1378 - GitHub
https://github.com › awslabs › issues
No module named 'sagemaker_containers. Tried running with kernel sagemaker jumpstart , and did not help. UPDATE: we just need to comment out ...
sagemaker-containers · PyPI
https://pypi.org/project/sagemaker-containers
22.06.2020 · SageMaker Containers gives you tools to create SageMaker-compatible Docker containers, and has additional tools for letting you create Frameworks (SageMaker-compatible Docker containers that can run arbitrary Python or shell scripts). Currently, this library is used by the SageMaker Scikit-learn containers.
AWS SageMaker PyTorch: no module named ... - Stack Overflow
https://stackoverflow.com › aws-sa...
(edit 2/9/2020 with extra code snippets). Your serving code tries to use the sagemaker module internally. The sagemaker module (also called ...
python - AWS SageMaker PyTorch: no module named 'sagemaker ...
https://stackoverflow.com/questions/60122070
07.02.2020 · The sagemaker module (also called SageMaker Python SDK, one of the numerous orchestration SDKs for SageMaker) is not designed to be used in model containers, but instead out of models, to orchestrate their activity (train, deploy, bayesian tuning, etc).
sagemaker-containers - PyPI
https://pypi.org › project › sagema...
SageMaker Containers gives you tools to create SageMaker-compatible ... "module_dir": "s3://sagemaker-{aws-region}-{aws-id}/{training-job-name}/source/ ...
No module named 'sagemaker.pytorch'; 'sagemaker' is not a ...
https://github.com/aws/sagemaker-python-sdk/issues/856
14.06.2019 · I m getting a "No module named 'sagemaker.pytorch'; 'sagemaker' is not a package" all the other packages are working except for this one. Minimal repro / logs. Please provide any logs and a bare minimum reproducible test case, as this will be helpful to diagnose the problem.
How to ensure libraries installed using sagemaker?
https://stackoverflow.com/questions/53493970
27.11.2018 · That particular code runs on SageMaker executed inside of our predefined TensorFlow Docker container. Installing your dependencies in the notebook instance will only allow access to the installed libraries within the notebook kernel. As for installing your dependencies inside of the running Docker container, that can be achieved by specifying ...
sagemaker-pytorch-training-toolkit from aws - Github Help
https://githubhelp.com › aws › sag...
ModuleNotFoundError: No module named 'ignite' ... I saw aws/sagemaker-containers/src/sagemaker_containers/_modules.py and know that requirements.txt is used ...
Resolve the ModuleNotFoundError on an Amazon SageMaker ...
https://aws.amazon.com/.../sagemaker-modulenotfounderror-pyspark
15.06.2020 · I used pip to install the Python libraries, but I get the following error: "ModuleNotFoundError: No module named my_module_name." Short description When you use the Sparkmagic kernel, the Amazon SageMaker notebook acts as an interface for the Apache Spark session that's running on a remote Amazon EMR cluster or an AWS Glue development …
Amazon SageMaker - Developer Guide - dbSeer
https://dbseer.com › SageMaker-Documentation
Amazon's trademarks and trade dress may not be used in connection with any ... can use this class, in the sagemaker.estimator module, with any algorithm.
SageMaker endpoint creation fails with: The primary container ...
https://issueexplorer.com › aws › s...
sagemaker_containers._errors.ImportModuleError: 'NoneType' object has no attribute 'startswith' 2021-08-16 12:02:51,107 INFO - sagemaker-containers - No ...
Machine Learning in the AWS Cloud: Add Intelligence to ...
https://books.google.no › books
... model training code inside an if __name__ == '__ main__': condition block. ... and not when the module is executed by importing it into another Python ...
Deploy an Inference Pipeline - Amazon SageMaker
https://docs.aws.amazon.com/sagemaker/latest/dg/inference-pipelines
An inference pipeline is a Amazon SageMaker model that is composed of a linear sequence of two to fifteen containers that process requests for inferences on data. You use an inference pipeline to define and deploy any combination of pretrained SageMaker built-in algorithms and your own custom algorithms packaged in Docker containers.
No module named 'sagemaker-containers' - Copy Paste Guru
https://copypaste.guru › how-to-fix...
How to fix "ModuleNotFoundError: No module named 'sagemaker-containers'" ... You must first install the package before you can use it in your code. Run the ...
Resolve the ModuleNotFoundError on an Amazon SageMaker
https://aws.amazon.com › sagemak...
I used pip to install the Python libraries, but I get the following error: "ModuleNotFoundError: No module named my_module_name." ...