[CUDA] QuantizeLinear and DequantizeLinear opset 25#28046
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Pull request overview
This PR extends the CUDA Execution Provider’s support for ONNX QuantizeLinear/DequantizeLinear opset 25 by adding the appropriate kernel registrations for opset 25 (and aligning registrations across opsets 21–24), plus targeted CUDA-only tests and regenerated operator kernel documentation.
Changes:
- Register CUDA kernels for QuantizeLinear/DequantizeLinear across opsets 21–22, 23–24, and 25+ with the correct type-constraint sets.
- Add CUDA-only opset 25 unit tests for QuantizeLinear and DequantizeLinear (including per-axis and blocked int4/uint4 cases).
- Update
docs/OperatorKernels.mdto reflect opset 25+ signatures/type constraints (auto-generated output update).
Reviewed changes
Copilot reviewed 4 out of 4 changed files in this pull request and generated 1 comment.
| File | Description |
|---|---|
| onnxruntime/test/providers/cpu/tensor/quantize_linear_test.cc | Adds CUDA-only opset 25 Q/DQ tests and a helper to run without CPU fallback. |
| onnxruntime/core/providers/cuda/tensor/quantize_linear.cc | Adds/adjusts CUDA kernel registrations for opsets 21–22, 23–24, and 25+. |
| onnxruntime/core/providers/cuda/cuda_execution_provider.cc | Updates CUDA kernel class declarations/registry entries to include opset 25 Q/DQ and align versioned registrations. |
| docs/OperatorKernels.md | Regenerated kernel doc entries reflecting opset 25+ for Q/DQ. |
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kunal-vaishnavi
approved these changes
Apr 14, 2026
This was referenced May 8, 2026
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