ONNX Runtime 发布: ONNX Runtime WebGPU Plugin EP v0.3.0

来源摘要

ONNX Runtime WebGPU Plugin EP 0.3.0 expands model and data-type coverage, improves generative-model performance, and strengthens configuration, reliability, and release tooling. These release notes were drafted with AI assistance. ## Highlights ### Model and operator coverage - Added initial PagedAttention support, MRotaryEmbedding, GRU, DFT, PRelu, HardSwish, Trilu, Max and Min, and MatMulBnb4. ([#31611](https://github.com/microsoft/onnxruntime/pull/31611), [#31976](https://github.com/microsoft/onnxruntime/pull/31976), [#29840](https://github.com/microsoft/onnxruntime/pull/29840), [#29454](https://github.com/microsoft/onnxruntime/pull/29454), [#30512](https://github.com/microsoft/onnxruntime/pull/30512), [#29828](https://github.com/microsoft/onnxruntime/pull/29828), [#29845](https://github.com/microsoft/onnxruntime/pull/29845), [#29833](https://github.com/microsoft/onnxruntime/pull/29833), [#29587](https://github.com/microsoft/onnxruntime/pull/29587)) - Expanded integer support across common operators, including `int64` for Add, Cast, Clip, Concat, Equal, Gather, Min, Max, ReduceSum, Reshape, Sub, Tile, and Where; `uint8` for Cast, Expand, Gather, and Reshape; and `int32`/`uint32` for CumSum and Tile. ([#28804](https://github.com/microsoft/onnxruntime/pull/28804), [#29392](https://github.com/microsoft/onnxruntime/pull/29392), [#29830](https://github.com/microsoft/onnxruntime/pull/29830), [#29834](https://github.com/microsoft/onnxruntime/pull/29834), [#29839](https://github.com/microsoft/onnxruntime/pull/29839), [#29844](https://github.com/microsoft/onnxruntime/pull/29844), [#29847](https://github.com/microsoft/onnxruntime/pull/29847), [#29854](https://github.com/microsoft/onnxruntime/pull/29854), [#29861](https://github.com/microsoft/onnxruntime/pull/29861), [#29897](h