Regenerate test model with ONNX IR < 12 #26149
Merged
Conversation
This file contains hidden or 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
adrianlizarraga
commented
Sep 24, 2025
yuslepukhin
reviewed
Sep 24, 2025
Both python scripts will fail to run if the .npy files are missing. If we remove them, we should embed the data in the python file. |
edgchen1
approved these changes
Sep 24, 2025
adrianlizarraga
added a commit
that referenced
this pull request
Sep 26, 2025
### Description - Regenerates the `input_propagate_to_output.onnx` model used in [this unit test](https://github.com/microsoft/onnxruntime/blob/35dcab5088118117acc6086c9b6dd6dd92c7060f/onnxruntime/test/shared_lib/test_inference.cc#L497-L506) so that it uses an ONNX IR version compatible with ONNX 1.18.0 (i.e., IR version < 12). - Adds script `input_propagate_to_output.py` that can be used to regenerate the `input_propagate_to_output.onnx` model. - Embed missing weight values that are needed to run the existing `test_dangling_input_segment_ids.py` script. ### Motivation and Context The main branch is using ONNX 1.19. However, this unit test also needs to pass in the `rel-1.23.1` branch, which is still using ONNX 1.18.0. So, by downgrading the model's IR version, the unit test can run in both branches. See original PR that added the test models: #26021
snnn
pushed a commit
that referenced
this pull request
Sep 27, 2025
### Description Adds the following commits to the `rel-1.23.1` branch for ORT 1.23.1: - add session_id_ to LogEvaluationStart/Stop, LogSessionCreationStart - main merge date: July 31, 1:05am - pr: #25590 - commit: e753643 - [build] fix WebAssembly build on macOS/arm64 - main merge date: Aug 5, 8:07am - pr: #25653 - commit: 53f152b - [CPU] MoE Kernel (#25958) - main merge date: Sept 10, 4:54pm - pr: #25958 - commit: 930e640 - [CPU] Block-wise QMoE kernel for CPU - main merge date: Sept 15, 8:32am - pr: #26009 - commit: 5d17734 - [C#] Implement missing APIs - main merge date: Sept 24, 10:50am - pr: #26101 - commit: 35dcab5 - Regenerate test model with ONNX IR < 12 - main merge date: Sept 24, 2:50pm - pr: #26149 - commit: 88f2652 - [CPU] Fix compilation errors because of unused variables - main merge date: Sept 25, 1:21pm - pr: #26147 - commit: 42fcd71 - [EP ABI] Check if nodes specified in GetCapability() have already been assigned - main merge date: Sept 26, 1:24am - pr: #26156 - commit: 67d3ba0 - [QNN EP] Add dynamic option to set HTP performance mode - main merge date: Sept 26, 11:55am - pr: #26135 - commit: 6cc40fd --------- Co-authored-by: xieofxie <xieofxie@126.com> Co-authored-by: hualxie <hualxie@microsoft.com> Co-authored-by: Yulong Wang <7679871+fs-eire@users.noreply.github.com> Co-authored-by: Akshay Sonawane <111780983+apsonawane@users.noreply.github.com> Co-authored-by: Dmitri Smirnov <yuslepukhin@users.noreply.github.com> Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com> Co-authored-by: quic-tirupath <quic_tirupath@quicinc.com> Co-authored-by: quic-ashwshan <quic_ashwshan@quicinc.com>
|
This PR has been cherry-picked into the |
TedThemistokleous
added a commit
to ROCm/onnxruntime
that referenced
this pull request
Oct 17, 2025
* ORT 1.23.1 cherrypick 1 [REDO] (microsoft#26140) ### Description Cherry-pick the following PRs into the ORT 1.23.1 branch: - Fix Attention GQA implementation on CPU - **MANUAL MERGE**: see microsoft#26057 - main merge date: Sept 15, 11:33am - pr: microsoft#25966 - commit: d530b29 - Address edge GetMemInfo edge cases - main merge date: Sept 16, 10:32am - pr: microsoft#26021 - commit: d251f3a - Implement new Python APIs - main merge date: Sept 17, 11:44am - pr: microsoft#25999 - commit: abc63e8 - MemcpyFromHost and MemcpyToHost support for plugin EPs - **MERGE CONFLICT** on file onnxruntime/test/optimizer/transpose_optimizer_test.cc. Conflicts with microsoft#25689 - main merge date: Sept 23, 10:42am - pr: microsoft#26088 - commit: 4545732 - [TRT RTX EP] Fix bug for generating the correct subgraph in GetCapability microsoft#26132 - main merge date: Sept 23, 8:54pm - pr: microsoft#26132 - commit: 72e56e7 ### 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. --> --------- Co-authored-by: Dmitri Smirnov <yuslepukhin@users.noreply.github.com> Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com> Co-authored-by: Chi Lo <54722500+chilo-ms@users.noreply.github.com> * ORT 1.23.1 cherrypick 2 (microsoft#26182) ### Description Adds the following commits to the `rel-1.23.1` branch for ORT 1.23.1: - add session_id_ to LogEvaluationStart/Stop, LogSessionCreationStart - main merge date: July 31, 1:05am - pr: microsoft#25590 - commit: e753643 - [build] fix WebAssembly build on macOS/arm64 - main merge date: Aug 5, 8:07am - pr: microsoft#25653 - commit: 53f152b - [CPU] MoE Kernel (microsoft#25958) - main merge date: Sept 10, 4:54pm - pr: microsoft#25958 - commit: 930e640 - [CPU] Block-wise QMoE kernel for CPU - main merge date: Sept 15, 8:32am - pr: microsoft#26009 - commit: 5d17734 - [C#] Implement missing APIs - main merge date: Sept 24, 10:50am - pr: microsoft#26101 - commit: 35dcab5 - Regenerate test model with ONNX IR < 12 - main merge date: Sept 24, 2:50pm - pr: microsoft#26149 - commit: 88f2652 - [CPU] Fix compilation errors because of unused variables - main merge date: Sept 25, 1:21pm - pr: microsoft#26147 - commit: 42fcd71 - [EP ABI] Check if nodes specified in GetCapability() have already been assigned - main merge date: Sept 26, 1:24am - pr: microsoft#26156 - commit: 67d3ba0 - [QNN EP] Add dynamic option to set HTP performance mode - main merge date: Sept 26, 11:55am - pr: microsoft#26135 - commit: 6cc40fd --------- Co-authored-by: xieofxie <xieofxie@126.com> Co-authored-by: hualxie <hualxie@microsoft.com> Co-authored-by: Yulong Wang <7679871+fs-eire@users.noreply.github.com> Co-authored-by: Akshay Sonawane <111780983+apsonawane@users.noreply.github.com> Co-authored-by: Dmitri Smirnov <yuslepukhin@users.noreply.github.com> Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com> Co-authored-by: quic-tirupath <quic_tirupath@quicinc.com> Co-authored-by: quic-ashwshan <quic_ashwshan@quicinc.com> --------- Co-authored-by: Adrian Lizarraga <adlizarraga@microsoft.com> Co-authored-by: Dmitri Smirnov <yuslepukhin@users.noreply.github.com> Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com> Co-authored-by: Chi Lo <54722500+chilo-ms@users.noreply.github.com> Co-authored-by: xieofxie <xieofxie@126.com> Co-authored-by: hualxie <hualxie@microsoft.com> Co-authored-by: Yulong Wang <7679871+fs-eire@users.noreply.github.com> Co-authored-by: Akshay Sonawane <111780983+apsonawane@users.noreply.github.com> Co-authored-by: quic-tirupath <quic_tirupath@quicinc.com> Co-authored-by: quic-ashwshan <quic_ashwshan@quicinc.com>
fs-eire
pushed a commit
that referenced
this pull request
Oct 24, 2025
### Description - Regenerates the `input_propagate_to_output.onnx` model used in [this unit test](https://github.com/microsoft/onnxruntime/blob/35dcab5088118117acc6086c9b6dd6dd92c7060f/onnxruntime/test/shared_lib/test_inference.cc#L497-L506) so that it uses an ONNX IR version compatible with ONNX 1.18.0 (i.e., IR version < 12). - Adds script `input_propagate_to_output.py` that can be used to regenerate the `input_propagate_to_output.onnx` model. - Embed missing weight values that are needed to run the existing `test_dangling_input_segment_ids.py` script. ### Motivation and Context The main branch is using ONNX 1.19. However, this unit test also needs to pass in the `rel-1.23.1` branch, which is still using ONNX 1.18.0. So, by downgrading the model's IR version, the unit test can run in both branches. See original PR that added the test models: #26021
naomiOvad
pushed a commit
to naomiOvad/onnxruntime
that referenced
this pull request
Nov 2, 2025
### Description - Regenerates the `input_propagate_to_output.onnx` model used in [this unit test](https://github.com/microsoft/onnxruntime/blob/35dcab5088118117acc6086c9b6dd6dd92c7060f/onnxruntime/test/shared_lib/test_inference.cc#L497-L506) so that it uses an ONNX IR version compatible with ONNX 1.18.0 (i.e., IR version < 12). - Adds script `input_propagate_to_output.py` that can be used to regenerate the `input_propagate_to_output.onnx` model. - Embed missing weight values that are needed to run the existing `test_dangling_input_segment_ids.py` script. ### Motivation and Context The main branch is using ONNX 1.19. However, this unit test also needs to pass in the `rel-1.23.1` branch, which is still using ONNX 1.18.0. So, by downgrading the model's IR version, the unit test can run in both branches. See original PR that added the test models: microsoft#26021
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
input_propagate_to_output.onnxmodel used in this unit test so that it uses an ONNX IR version compatible with ONNX 1.18.0 (i.e., IR version < 12).input_propagate_to_output.pythat can be used to regenerate theinput_propagate_to_output.onnxmodel.test_dangling_input_segment_ids.pyscript.Motivation and Context
The main branch is using ONNX 1.19. However, this unit test also needs to pass in the
rel-1.23.1branch, which is still using ONNX 1.18.0. So, by downgrading the model's IR version, the unit test can run in both branches.See original PR that added the test models: #26021