aws / sagemaker-tensorflow-serving-container

A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.
Apache License 2.0
174 stars 101 forks source link

Wait tfs before starting gunicorn #192

Closed liangma8712 closed 3 years ago

liangma8712 commented 3 years ago

Issue #, if available:

Description of changes: Wait for TFS before starting gunicorn.

Tested the batch transform job using below notebook. https://aws.amazon.com/blogs/machine-learning/performing-batch-inference-with-tensorflow-serving-in-amazon-sagemaker/

Use SAGEMAKER_TFS_WAIT_TIME to adjust wait time if needed.

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

sagemaker-bot commented 3 years ago

AWS CodeBuild CI Report

Powered by github-codebuild-logs, available on the AWS Serverless Application Repository

sagemaker-bot commented 3 years ago

AWS CodeBuild CI Report

Powered by github-codebuild-logs, available on the AWS Serverless Application Repository

sagemaker-bot commented 3 years ago

AWS CodeBuild CI Report

Powered by github-codebuild-logs, available on the AWS Serverless Application Repository

sagemaker-bot commented 3 years ago

AWS CodeBuild CI Report

Powered by github-codebuild-logs, available on the AWS Serverless Application Repository

sagemaker-bot commented 3 years ago

AWS CodeBuild CI Report

Powered by github-codebuild-logs, available on the AWS Serverless Application Repository

sagemaker-bot commented 3 years ago

AWS CodeBuild CI Report

Powered by github-codebuild-logs, available on the AWS Serverless Application Repository

sagemaker-bot commented 3 years ago

AWS CodeBuild CI Report

Powered by github-codebuild-logs, available on the AWS Serverless Application Repository

sagemaker-bot commented 3 years ago

AWS CodeBuild CI Report

Powered by github-codebuild-logs, available on the AWS Serverless Application Repository

sagemaker-bot commented 3 years ago

AWS CodeBuild CI Report

Powered by github-codebuild-logs, available on the AWS Serverless Application Repository