Skip to content

Update onnxruntime requirement from >=1.27.0 to >=1.28.0 in /backend#133

Open
dependabot[bot] wants to merge 1 commit into
mainfrom
dependabot/pip/backend/onnxruntime-gte-1.28.0
Open

Update onnxruntime requirement from >=1.27.0 to >=1.28.0 in /backend#133
dependabot[bot] wants to merge 1 commit into
mainfrom
dependabot/pip/backend/onnxruntime-gte-1.28.0

Conversation

@dependabot

@dependabot dependabot Bot commented on behalf of github Jul 25, 2026

Copy link
Copy Markdown
Contributor

Updates the requirements on onnxruntime to permit the latest version.

Release notes

Sourced from onnxruntime's releases.

ONNX Runtime v1.28.0

Announcements & Breaking Changes

  • Upgraded to ONNX 1.22.0 and protobuf 6.33.5 (#28754, #29606, #28967). Graph optimizer opset version checks were updated accordingly (#28966).
  • cuDNN and cuFFT are now optional at runtime for the CUDA EP, and nvrtc is no longer linked, which significantly reduces the required CUDA redistributable footprint (#29252, #29808, #29705, #29620).
  • An experimental C/C++ API surface was introduced. OrtModelPackageApi now lives in the experimental C API and may change in future releases (#28746, #29142, #28990).
  • Deprecated / removed:
    • SkipLayerNorm strict mode is deprecated (#29388).
    • The TensorRT fused causal attention kernels were removed from the CUDA EP (#29143).
    • The dynamic WGSL generator (duktape/Node) path was removed in favor of the Python wgsl-gen implementation (#29141, #28355).
    • CUDA_QUANT_PREPROCESS is off by default (#29687).
  • NPM packages are now published from the CUDA 13 pipeline (#28773).
  • The CUDA 12.8 package architecture list was refreshed for this release (#29711).

Security Fixes

Memory safety & input validation

  • Hardened the ORT FlatBuffer model loader against malformed buffers, and removed now-redundant table offset validation (#28186, #29068)
  • Fixed type confusion in raw-pointer bind_input causing an out-of-bounds write (#28839)
  • Fixed out-of-bounds pointer in TensorAt for sub-byte packed types (#28973)
  • Fixed arbitrary memory read, out-of-bounds dereference, and other OOB accesses in kernels (#28991, #29011, #29012, #29014)
  • Validated Col2Im inputs to prevent heap over-read (#28706)
  • Hardened CropAndResize against malformed crop_size tensors (#28766)
  • Validated BeamSearch vocab_size against logits width (#28774)
  • Fixed bounds in WhisperDecoderSubgraph::CreateInitialFeeds (#29239)
  • Validated SparseAttention CSR indices/key lengths and rejected zero-dimension block_row_indices (#29015, #29242)
  • Clamped derived sequence lengths and KV-cache index in CUDA GroupQueryAttention, and fixed a CPU GQA out-of-bounds read in the past-KV buffer (#29240, #29447)
  • Clamped 1D attention mask_index to valid bounds (#29449)
  • Validated MaxpoolWithMask kernel rank against input spatial rank (#29253)
  • Rejected CUDA BERT EmbedLayerNorm/SkipLayerNorm shapes exceeding 32-bit output indexing (#29264)
  • Fixed the optional-output guard in DecoderAttention/MultiHeadAttention shape inference and negative-axis handling in ExpandDims shape inference (#29268, #29448)
  • Fixed TreeEnsemble target id validation and added input validation to LinearClassifier (#29293, #29060)
  • Fixed DynamicQuantizeLSTM zero-point/scale validation typos (#29462)
  • Handled non-trivially-copyable types in Loop/Scan output concatenation (#29397)
  • Normalized bool tensor raw_data to {0, 1} on unpack (#29238)
  • Addressed hardening gaps in Resize, PadFusion, and LoRA handling (#28779, #28780, #28801)
  • Fixed unbounded lifetime on WithOutputTensor in the Rust bindings (#29251)

Integer overflow & allocation size

  • Guarded MlasConvPrepare working-buffer products and ConvTranspose pad computation with SafeInt (#29444, #29446)
  • Fixed signed-int overflow in SamplingState::Init that could cause a heap buffer overflow (#29443)
  • Hardened QMoE against integer overflow and partial K tiles (#29067)
  • Validated B/scales/zero-points shape in MatMulNBits::PrePack (#29445)
  • Pre-checked ConstantOfShape output size against the input initializer before constant folding (#28751)
  • Fixed integer overflow in RKNPU implicit bias allocation (#29249)
  • Fixed WebGPU out-of-bounds reads in Pad (int64/int32 truncation), Slice, and GatherBlockQuantized (#28721, #28704, #28718)

Supply chain & tooling

... (truncated)

Commits
  • da9b5e3 Fix Windows zip artifact to include .inc header files (#29874)
  • 45de2a8 Fix NuGet packaging to include .inc files alongside .h headers (#29868)
  • 0368187 ORT 1.28.0 release cherry-pick round 2 (#29821)
  • e1bbb64 ORT 1.28.0 release cherry-pick round 1 (#29771)
  • a06675e Fix web e2e (npm/vite) and Python DML CI pipelines (#29609)
  • c4f1961 Bump onnx to 1.22.0 and protobuf to 6.33.5 to fix security CVEs (#29606)
  • e0ad071 [CUDA] Enable native SM90, block_size=32, and fused bias for fpA_intB MatMulN...
  • a1fc71e [CUDA] Fix QMoE profiler cross-stream race and CUDA-graph-capture safety (#29...
  • 5eb4aee Fix CustomOp forward compatibility: cap version instead of rejecting (#29574)
  • 7a12371 adjusts conv kernel to use get/set by offset helpers (#29463)
  • Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.


Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

  • @dependabot rebase will rebase this PR
  • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
  • @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
  • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

Updates the requirements on [onnxruntime](https://github.com/microsoft/onnxruntime) to permit the latest version.
- [Release notes](https://github.com/microsoft/onnxruntime/releases)
- [Changelog](https://github.com/microsoft/onnxruntime/blob/main/docs/ReleaseManagement.md)
- [Commits](microsoft/onnxruntime@v1.27.0...v1.28.0)

---
updated-dependencies:
- dependency-name: onnxruntime
  dependency-version: 1.28.0
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Jul 25, 2026
@dependabot
dependabot Bot requested a review from nmbrthirteen as a code owner July 25, 2026 06:52
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Jul 25, 2026
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

dependencies Pull requests that update a dependency file python Pull requests that update python code

Projects

None yet

Development

Successfully merging this pull request may close these issues.

0 participants