Skip to content

Fir for Pr 138 by Udit Bhatia #142

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

Closed
wants to merge 51 commits into from
Closed

Conversation

ubbhatia
Copy link

@ubbhatia ubbhatia commented Jan 3, 2019

Issue #, if available:
Testing the fix for the failing integration test in #138

Description of changes:

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

icywang86rui and others added 30 commits September 27, 2018 10:23
* Scriptmode with cpu docker py2 and py3 docker file

* Migrate to sagemaker-containers 2.1
* Remove serving related packages and code from container
* Add py3 container
* Add integ and unit tests for script mode
* Remove non-asci characters from  README

* Changes based on pr comments

* Move conftest to test root dir

* Add default values for test args

* add docker-compose to test requirement
* Add tox.ini and configure coverage and flake runs

* Add more unit tests
* Configure unit tests to run with both py2 and py3
* Add flake checks
* Fix broken integ tests

* Add import style check

* Add .flake8

* Add source module in coverage command

* Add newlines
* Add mnist sagemaker tests

* Use account-id instead of ecr-image

* Merge gpu and cpu sagemaker tests

* remove _run_mnist_training
* Add Script Mode example
* Add benchmarking script
* edited tf script mode notebook
* Implement distributed support

* Launch parameter server if user set sagemaker_parameter_server_enabled to be True
* Add integ tests
* Add unit tests
* Add distributed sagemaker integ test
* Add 1.11.0 and modify Dockerfile to reduce image size
* Add CI configuration files
* Setting S3 environment variables before training starts

* Remove S3 environment variable setting in test training script

* Add unit tests
* Force framework libraries to re-install
* Update sagemaker containers
* Unset CUDA_VISIBLE_DEVICES for worker processes

* Add comments
The tests all passed not sure why the sagemaker tests are not reporting success.
* Add Keras support
* Create parameter server in different thread
* Fixing some integ tests
This test is only configured to run with 'local'. Change it to use the correct instance type accordingly.
…ensorflow-containers into mvs-update-benchmarks
@mvsusp mvsusp closed this Jan 16, 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.

7 participants