Jiajia Qin 785e2b1eae [js/webgpu] Optimize softmax by vector (#18153) ... ### Description This PR enables `softmax` outputs max supported components instead of scalar for each thread. Softmax with input[0]: [12,4096,4096] becomes 47.86 ms from 55.11 ms		2023-10-30 16:05:35 -07:00
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onnxjs	[js/web] use esbuild to accelerate bundle build (#17745)	2023-10-06 13:37:37 -07:00
wasm	[js/webgpu] Optimize softmax by vector (#18153)	2023-10-30 16:05:35 -07:00
backend-onnxjs.ts	Add training interfaces to js/common (#17333)	2023-09-29 19:05:10 -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] Add CreateTrainingSession (#17891)	2023-10-26 09:22:10 -07:00
backend-wasm.ts	Add "glue" between training WASM artifacts and training web (#17474)	2023-10-12 11:16:56 -07:00
build-def.d.ts	Add "glue" between training WASM artifacts and training web (#17474)	2023-10-12 11:16:56 -07:00
index.ts	[js/web] fix a few package consuming problems (#18109)	2023-10-30 08:11:43 -07:00
version.ts	Bump Up Version to 1.17.0 (#17587)	2023-09-20 11:02:58 +08:00