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@github-actions github-actions bot commented Oct 3, 2025

Update CI point for Onnxruntime builds

  • Updated with changes from 2025-10-03
  • Auto-generated by create-pull-request
  • Update .onnxrt-commit to be655f69f6c8623eebcac094626d0c8545951e6d

@github-actions github-actions bot added automated Pull request is auto generated by actions dependencies Pull requests that update a dependency file onnxruntime PR changes interaction between MIGraphX and Onnxruntime labels Oct 3, 2025
@github-actions github-actions bot requested a review from causten as a code owner October 3, 2025 17:14
@github-actions github-actions bot added the skip bot checks Skips the Performance and Accuracy CI tests label Oct 3, 2025
@causten causten merged commit 894f160 into develop Oct 6, 2025
24 checks passed
@causten causten deleted the onnxruntime-sync-2025-10-03 branch October 6, 2025 19:05
jharryma pushed a commit that referenced this pull request Oct 10, 2025
* Update build and test script and dockerfile to add in onnxrt pai laun… (#4336)

Update build and test script and dockerfile to add in onnxrt pai launcher scripts
Push pai launcher scripts to Onnxrutime to let us reuse scripts from prior run
Related to change from - #4321

* Bump SQlite3 to 3.50.4 (#4322)

* TopK exception bugfix (#4329)

* Use --input-dim for specifying dynamic shapes at driver runtime (#4342)

* Add video and render groups in docker for CI (#4340)

* Fix MXFP4 bugs (#4324)

* propagate_constant ignores `unpack_fp4` instructions now
* `match_find_mx_quantizable_ops` from `simplify_qdq` updated to not require non-constant scales. The scales can be literals.
* transpose, reshape, and broadcast instructions propagated on scale instructions when going to `quant_dot` and `quant_conv`
* `raw_data` `operator<<` updated to use `fallback_visit` to also handle non-computable types

* Brevitas MXFP4 quantization parse (#4301)

* Bump onnx to 1.18.0 (#4323)

* Fuse GEMM+GEMM with rocMLIR (#4261)

rocmlir supports GEMM+GEMM fusion, so MIGraphX needs to support the fusion on our side.
Solves #4230

* Updated SD3 example for change in optimum-onnx[onnxruntime] (#4344)

* Lower lrn to pooling (#4294)

This PR implements a lowering transformation that converts LRN operations into a series of pooling and arithmetic operations.

* Update onnxruntime main be655f69f6c8623eebcac094626d0c8545951e6d (#4348)

* Update docs/reference/MIGraphX-dev-env-vars.rst

---------

Co-authored-by: Ted Themistokleous <[email protected]>
Co-authored-by: Lakhinder Walia <[email protected]>
Co-authored-by: kahmed10 <[email protected]>
Co-authored-by: Charlie Lin <[email protected]>
Co-authored-by: Breanna Devore-McDonald <[email protected]>
Co-authored-by: Aarushi Jain <[email protected]>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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