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[SR-8049] Open source S4TF unit testing with a remote TF session #50582

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swift-ci opened this issue Jun 20, 2018 · 3 comments
Closed

[SR-8049] Open source S4TF unit testing with a remote TF session #50582

swift-ci opened this issue Jun 20, 2018 · 3 comments
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feature A feature request or implementation good first issue Good for newcomers stale Resolution: No longer relevant, stale swift for tensorflow

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Previous ID SR-8049
Radar None
Original Reporter hongm (JIRA User)
Type New Feature
Status Resolved
Resolution Invalid
Additional Detail from JIRA
Votes 0
Component/s Swift for TensorFlow
Labels New Feature, StarterBug
Assignee bgogul (JIRA)
Priority Medium

md5: d85ef0f3d1cc8e40b039841c34bbc2c1

Issue Description:

@swift-ci
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Comment by Mingsheng Hong (JIRA)

This could be a side task for someone to pick up if there is interest. It'll provide knowledge on:

  • how to set up tensorflow backend in a cluster

  • the difference between the concepts of local vs remote execution (i.e., a local session vs a remote/master session),

  • how s4tf runtime calls into TF via local or remote execution

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swift-ci commented Jul 3, 2018

Comment by Mingsheng Hong (JIRA)

Since we already have some code in google internal repo for remote testing, it'd make sense for a googler to pick up this task.

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swift-ci commented Dec 3, 2019

Comment by Gogul Balakrishnan (JIRA)

This bug is obsolete.

@swift-ci swift-ci transferred this issue from apple/swift-issues Apr 25, 2022
@AnthonyLatsis AnthonyLatsis added feature A feature request or implementation stale Resolution: No longer relevant, stale will not do Resolution: Will not be worked on and removed new feature labels Feb 2, 2023
@AnthonyLatsis AnthonyLatsis removed the will not do Resolution: Will not be worked on label Apr 2, 2023
@AnthonyLatsis AnthonyLatsis closed this as not planned Won't fix, can't repro, duplicate, stale Apr 2, 2023
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Labels
feature A feature request or implementation good first issue Good for newcomers stale Resolution: No longer relevant, stale swift for tensorflow
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