onnxruntime/js/web/lib
Satya Kumar Jandhyala 5b64d7c32b
[JS/WebGPU] Use non-matmul implementation for ConvTranspose in channel-first case. (#20022)
### Description
Avoid using vec4 Matmul implementation for ConvTranspose with channel-last



### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
2024-03-23 11:19:14 -07:00
..
onnxjs [js] optimize eslint config (#18460) 2023-11-20 12:00:56 -08:00
wasm [JS/WebGPU] Use non-matmul implementation for ConvTranspose in channel-first case. (#20022) 2024-03-23 11:19:14 -07:00
backend-onnxjs.ts [js/web/training] runTrainStep implementation (#18006) 2023-11-02 08:32:50 -07:00
backend-wasm-inference.ts Add "glue" between training WASM artifacts and training web (#17474) 2023-10-12 11:16:56 -07:00
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