Bump Microsoft.ML.OnnxRuntime from 1.27.1 to 1.29.0

[dependabot]

Updated Microsoft.ML.OnnxRuntime from 1.27.1 to 1.29.0.

Release notes

Sourced from Microsoft.ML.OnnxRuntime's releases.

1.29.0

Announcements & Breaking Changes

• onnxruntime-web has announced the deprecation of WebGL and JSEP. The native WebGPU EP is the recommended path going forward. See the deprecation and migration plans for details (#​29716, #​31683).
• POSIX telemetry is now available on Linux, macOS, Android, and iOS when ONNX Runtime is built with telemetry enabled. It does not change the public ABI, WebAssembly remains telemetry-free, and setting ORT_DISABLE_TELEMETRY=1 before initialization disables non-Windows telemetry for the process (#​27379, #​29872).
• The unused internal onnxruntime/python/tools/tensorrt dashboard tooling was removed. This does not affect the TensorRT Execution Provider APIs (#​29395).

Security Fixes

Path, bounds, and input validation

• Fixed a path traversal vulnerability in TensorRT and NvTensorRTRTX engine refitting by making external-data path validation unconditional (#​29396).
• Validated the CPU MoE k attribute against the number of experts and fixed a CPU TensorScatter security issue (#​29907, #​29916).
• Added missing rank, shape, and parameter validation for pooling, LSTM and DynamicQuantizeLSTM, Sampling, FeatureVectorizer, SkipLayerNorm, QLinearConv, Whisper decoding, RNN activations, GridSample, contrib Range, and CropAndResize (#​29254, #​29255, #​29265, #​29579, #​29595, #​29605, #​29871, #​31636, #​31671, #​31675, #​31676, #​31684).
• Hardened CUDA indexing and buffer handling in GridSample, transpose, GatherBlockQuantized, InstanceNormalization, LayerNorm/RMSNorm, BeamSearch, DeformConv, AveragePool, and MaxPool (#​29581, #​29631, #​29638, #​31640, #​31642, #​31644, #​31645, #​31647, #​31650).
• Fixed packed sub-byte tensor over-copying in OrtApi::GetValue and validated DML constant tensor byte sizes (#​29157, #​31665).

Supply chain and tooling

• Updated npm lockfiles, refreshed the Next.js end-to-end fixture lockfile for security advisories, and upgraded adm-zip for onnxruntime-node (#​29827, #​29926, #​31192).

New Features

Core APIs & Runtime

• Default intra-op and inter-op thread-pool sizes can now be set with ORT_INTRA_OP_NUM_THREADS and ORT_INTER_OP_NUM_THREADS. Explicit thread settings still take precedence, and 0 preserves machine-sized defaults (#​29688).
• Added weightless-model support for all initializer types, allowed zero-input EpContext nodes, and wired maximum-shape inference into workspace estimation (#​29607, #​29799, #​31613).
• Added ONNX-domain support for rotary embedding and a fused MRotaryEmbedding contrib operator for Qwen mRoPE variants (#​29261, #​31728).
• Added multi-shape profiling to onnxruntime_perf_test through --data_shape, plus verbose graph-transformer tracing and broader inference-session error-path coverage (#​29555, #​29558, #​29569, #​29571).

Execution Provider ABI & Plugin EPs

• WebGPU now supports device-free compile-only sessions for offline graph transformation (#​29681).
• Expanded CUDA plugin EP packaging and testing, including Windows ARM64 package and size options, updated package outputs, and aligned architecture selections across Python, C API, TensorRT, Node.js, and plugin packages (#​31635, #​31722, #​31992).
• Improved plugin lifecycle handling by unloading failed EP library loads and fixing allocator-deleter lifetime (#​29634, #​29770).

Execution Provider Updates

NVIDIA CUDA EP

Attention and decoding

• Added PagedAttention with quantized KV cache, XQA decode, MLA, QK-Norm, and head-sink support (#​29912).
• Extended quantized KV-cache support with attention sinks, independent and per-channel scales, sliding-window cache support, and a fused K/V dequantization launch (#​29900, #​29904, #​31480).
• Added a cuDNN SDPA decode tier to the standard ONNX Attention CUDA kernel and enabled cuDNN SDPA for contrib Attention (#​29715, #​29717).
• Added attention_bias support to the GroupQueryAttention unfused path and state_window support to LinearAttention and CausalConvWithState for MTP (#​29525, #​31157).
• Fixed LinearAttention on GPUs with limited shared memory (#​31982).

MoE and quantized GEMM

• Added NVFP4 QMoE, including native FP4xFP4 prefill on SM120, faster decode GEMV, fused routing/finalization paths, and reduced activation and weight-dequantization overhead (#​29697, #​29824, #​29887, #​29919, #​31156, #​31159, #​31349, #​31479).
  ... (truncated)

1.28.0

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)

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