Skip to content

add readme #13

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
May 24, 2019
Merged

add readme #13

merged 2 commits into from
May 24, 2019

Conversation

ChoiByungWook
Copy link
Contributor

Based on https://github.com/aws/sagemaker-mxnet-container

Will add section on testing sagemaker end to end tests and elastic inference, in this PR: #11

Checking distribution dist/sagemaker_mxnet_serving_container-1.0.0.tar.gz: Passed

@ChoiByungWook ChoiByungWook requested a review from laurenyu May 22, 2019 22:53
README.rst Outdated

The Dockerfiles in this repository are intended to be used for building Docker images to run inference endpoints on `Amazon SageMaker <https://aws.amazon.com/documentation/sagemaker/>`__.

The current master branch of this repository contains Dockerfiles and support code for MXNet versions 1.4.0 and higher.
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

maybe add a link to the other repo for versions 1.3.0 and lower?

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

There is a link above.

README.rst Outdated
# GPU
docker build -t preprod-mxnet-serving:<tag> \
--build-arg py_version=<python_version> \
-f docker/<MXNet_version>/final/Dockerfile.gpu .
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I'd lowercase "MXNet" here - "MXNet_version" looks weird to me

README.rst Outdated

Support for using MXNet with Amazon Elastic Inference in SageMaker is supported in the public SageMaker MXNet containers.

* For information on how to use the Python SDK to create an endpoint with Amazon Elastic Inference and MXNet in SageMaker, see `Deploying MXNet Models <https://github.com/aws/sagemaker-python-sdk/tree/master/src/sagemaker/mxnet#deploying-mxnet-models>`__.
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

this link doesn't work anymore

@ChoiByungWook ChoiByungWook requested a review from laurenyu May 24, 2019 01:55
@laurenyu laurenyu merged commit 4bd2f3f into aws:master May 24, 2019
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants