onnxruntime/js/web/lib
Yang Gu 53de2d8cb0
[js/webgpu] Enable GroupedConvVectorize path (#19791)
Vectorize met 2 failed cases in a CI bot with NVIDIA GPU, but we
couldn't repro with all the GPUs at hand, including NVIDIA GPUs. This PR
introduces GPUAdapterInfo and enables this opt on non-NVIDIA GPUs to
make the bots happy.
No obivous perf gain can be seen if we enable vectorize on NVIDIA.
However, it shows big perf improvement on Intel. On my Gen12 Intel GPU,
mobilenetv2-12 perf was improved from 11.14ms to 7.1ms.
2024-03-12 22:25:07 -07:00
..
onnxjs [js] optimize eslint config (#18460) 2023-11-20 12:00:56 -08:00
wasm [js/webgpu] Enable GroupedConvVectorize path (#19791) 2024-03-12 22:25:07 -07:00
backend-onnxjs.ts [js/web/training] runTrainStep implementation (#18006) 2023-11-02 08:32:50 -07:00
backend-wasm-inference.ts
backend-wasm-training.ts [js/web/training] runTrainStep implementation (#18006) 2023-11-02 08:32:50 -07:00
backend-wasm.ts [js/web] show warning when numThreads is set but threads is not supported (#19179) 2024-01-17 15:04:22 -08:00
build-def.d.ts [WebNN EP] Support WebNN async API with Asyncify (#19145) 2024-01-24 15:37:35 -08:00
index.ts [WebNN EP] Support WebNN async API with Asyncify (#19145) 2024-01-24 15:37:35 -08:00
version.ts [ORT 1.17.0 release] Bump up version to 1.18.0 (#19170) 2024-01-17 11:18:32 -08:00