-
Notifications
You must be signed in to change notification settings - Fork 3.1k
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
[TensorRT EP] New CIs to test TRT+minimal CUDA build #23028
Merged
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Could you also help add a Windows CI for minimal CUDA build? |
The Windows CI seems having issue downloading CUDA SDK v12.2. |
The CI is now fixed with correct auth config. Will init another test on this new CI |
jywu-msft
approved these changes
Dec 19, 2024
guschmue
pushed a commit
that referenced
this pull request
Dec 20, 2024
### Description <!-- Describe your changes. --> New CI: [Linux_TRT_Minimal_CUDA_Test_CI](https://dev.azure.com/onnxruntime/onnxruntime/_build?definitionId=230&_a=summary) and [Win_TRT_Minimal_CUDA_Test_CI ](https://dev.azure.com/onnxruntime/onnxruntime/_build?definitionId=231) Setting config for new CI to monitor if there's no issue to build ORT-TRTEP with minimal CUDA * yaml content is following Linux TRT CI yaml, with different build arg/cache name * build arg is following [[TensorRT EP] Enable a minimal CUDA EP compilation without kernels](#19052 (comment)) ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Monitor if user is able to build ORT-TRTEP-minimalCUDA without any blocker (which takes ~30min to build)
tarekziade
pushed a commit
to tarekziade/onnxruntime
that referenced
this pull request
Jan 10, 2025
### Description <!-- Describe your changes. --> New CI: [Linux_TRT_Minimal_CUDA_Test_CI](https://dev.azure.com/onnxruntime/onnxruntime/_build?definitionId=230&_a=summary) and [Win_TRT_Minimal_CUDA_Test_CI ](https://dev.azure.com/onnxruntime/onnxruntime/_build?definitionId=231) Setting config for new CI to monitor if there's no issue to build ORT-TRTEP with minimal CUDA * yaml content is following Linux TRT CI yaml, with different build arg/cache name * build arg is following [[TensorRT EP] Enable a minimal CUDA EP compilation without kernels](microsoft#19052 (comment)) ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Monitor if user is able to build ORT-TRTEP-minimalCUDA without any blocker (which takes ~30min to build)
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Description
New CI: Linux_TRT_Minimal_CUDA_Test_CI and Win_TRT_Minimal_CUDA_Test_CI
Setting config for new CI to monitor if there's no issue to build ORT-TRTEP with minimal CUDA
Motivation and Context
Monitor if user is able to build ORT-TRTEP-minimalCUDA without any blocker
(which takes ~30min to build)