onnxruntime

13af6597 - Fix CPU QLinearConv: support per-channel weight zero points with distinct values (#28456)

Fix CPU QLinearConv: support per-channel weight zero points with distinct values (#28456) ### Description The CPU `QLinearConv` kernel incorrectly rejected per-channel weight zero point tensors whose values were not all identical, even though the ONNX spec allows this for asymmetric per-channel quantization. **Kernel (`qlinearconv.cc`)**: - Removed the `ORT_ENFORCE` in `ComputeOffset` that required all per-channel W zero points to be equal - Extracted W zero point reading from `ComputeOffset` into `Compute()` directly, exposing the full per-channel array - Added `W_zero_point_is_per_channel` / `W_zero_point_is_uniform` flags - GEMM path: sets `PerColumnZeroPoints = true` and passes `W_zero_point_data + group_id * group_output_channels` when ZPs differ — MLAS already supported this - Depthwise path: requires uniform W zero points (since `MlasConvDepthwise` takes a scalar `FilterZeroPoint`); non-uniform per-channel ZPs automatically fall back to the group-GEMM path instead **Tests (`qlinearconv_op_test.cc`)**: - Added `zero_points_` vector field to `QuantizedTensor` and `SetWeightZeroPoints()` method to `QLinearConvOpTester` - Updated `ComputeExpectedOutput` and `Run()` to emit a per-channel ZP tensor when set - Added three new test cases covering `uint8` activations, `int8` activations, and grouped convolution with per-channel W zero points ### Motivation and Context `CPUExecutionProvider` threw `QLinearConv : zero point of per-channel filter must be same` at runtime for any model using asymmetric per-channel weight quantization (distinct zero points per output channel), despite `w_scale` and `w_zp` both being valid 1-D `[Cout]` tensors per the ONNX spec. This made a common quantization pattern completely unusable on CPU. ```python w_zp = np.array([5, 90], dtype=np.uint8) # different per-channel ZPs → was rejected ``` --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: tianleiwu <30328909+tianleiwu@users.noreply.github.com> Co-authored-by: Tianlei Wu <tlwu@microsoft.com>