onnxruntime

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Author	SHA1	Message	Date
Yifan Li	a3bb3f1487	[TensorRT EP] New CIs to test TRT+minimal CUDA build (#23028 ) ### 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](https://github.com/microsoft/onnxruntime/pull/19052#issuecomment-1888066851) ### 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)	2024-12-19 10:30:39 -08:00
Changming Sun	4af593a722	Add python 3.13 support (#22380 ) 1. Add python 3.13 to our python packaging pipelines 2. Because numpy 2.0.0 doesn't support thread free python, this PR also upgrades numpy to the latest 3. Delete some unused files.	2024-10-14 18:07:54 -07:00
Changming Sun	67bc9438d7	Update training packaging pipeline's docker files (#20853 ) ### Description Similar to #20786 . The last PR was able to update all pipelines and all docker files. This is a follow-up to that PR. ### Motivation and Context 1. To extract the common part as a reusable build infra among different ONNX Runtime projects. 2. Avoid hitting docker hub's limit: 429 Too Many Requests - Server message: toomanyrequests: You have reached your pull rate limit. You may increase the limit by authenticating and upgrading: https://www.docker.com/increase-rate-limit	2024-05-30 23:48:42 -07:00

Author

SHA1

Message

Date

Yifan Li

a3bb3f1487

[TensorRT EP] New CIs to test TRT+minimal CUDA build (#23028 )

### 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](https://github.com/microsoft/onnxruntime/pull/19052#issuecomment-1888066851)



### 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)

2024-12-19 10:30:39 -08:00

Changming Sun

4af593a722

Add python 3.13 support (#22380 )

1. Add python 3.13 to our python packaging pipelines
2. Because numpy 2.0.0 doesn't support thread free python, this PR also
upgrades numpy to the latest
3. Delete some unused files.

2024-10-14 18:07:54 -07:00

Changming Sun

67bc9438d7

Update training packaging pipeline's docker files (#20853 )

### Description
Similar to #20786 . The last PR was able to update all pipelines and all
docker files. This is a follow-up to that PR.

### Motivation and Context
1. To extract the common part as a reusable build infra among different
ONNX Runtime projects.
2. Avoid hitting docker hub's limit: 429 Too Many Requests - Server
message: toomanyrequests: You have reached your pull rate limit. You may
increase the limit by authenticating and upgrading:
https://www.docker.com/increase-rate-limit

2024-05-30 23:48:42 -07:00

3 commits