Skip to content
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

Training Container with Model Constructor for cifar10 #345

Merged
merged 5 commits into from
Feb 15, 2019

Conversation

jinan-zhou
Copy link
Contributor

@jinan-zhou jinan-zhou commented Jan 26, 2019

It currently works with reinforcement learning suggestion(#339). The Model Constructor can work with any NAS suggestions in the future. This container builds on nvidia-docker to enable GPU acceleration.

Related to #257


This change is Reviewable

@jinan-zhou jinan-zhou changed the title Training Container with Model Constructor for cifar10 [WIP] Training Container with Model Constructor for cifar10 Jan 26, 2019
@jinan-zhou jinan-zhou changed the title [WIP] Training Container with Model Constructor for cifar10 Training Container with Model Constructor for cifar10 Jan 30, 2019
@johnugeorge johnugeorge mentioned this pull request Feb 12, 2019
15 tasks
@hougangliu
Copy link
Member

/lgtm

@hougangliu
Copy link
Member

/approve

@k8s-ci-robot k8s-ci-robot removed the lgtm label Feb 15, 2019
@hougangliu
Copy link
Member

/lgtm
/approve

@k8s-ci-robot
Copy link

[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: hougangliu

The full list of commands accepted by this bot can be found here.

The pull request process is described here

Needs approval from an approver in each of these files:

Approvers can indicate their approval by writing /approve in a comment
Approvers can cancel approval by writing /approve cancel in a comment

@k8s-ci-robot k8s-ci-robot merged commit ee62c33 into kubeflow:master Feb 15, 2019
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants