Jiajia Qin 25f427466e [js/webgpu] Optimize ConvTranspose (Continue) (#23429) ... BUG #23273 This PR does below optimizations: 1. When output channels is one, 1) calculate the offset before the inchannel loop to reduce indices to offsets calculation, 2) split the `inputChannelsPerGroup` into `inputChannelsPerGroupInt` and `inputChannelsRemainder` parts so that we can always access 4 data for `inputChannelsPerGroupInt`. 2. Use precise initial value to reduce useless loop iterations. Thanks @jiangzhaoming 's suggestion's on this. With this PR, ConvTranspose becomes 3.7s from 8.4s on Intel Meteor Lake. On NV RTX 2000 Ada, it becomes 1.6s from 2.7s.		2025-01-22 08:59:17 -08:00
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onnxjs	[js] change default formatter for JavaScript/TypeScript from clang-format to Prettier (#21728)	2024-08-14 16:51:22 -07:00
wasm	[js/webgpu] Optimize ConvTranspose (Continue) (#23429)	2025-01-22 08:59:17 -08:00
backend-onnxjs.ts	[js] change default formatter for JavaScript/TypeScript from clang-format to Prettier (#21728)	2024-08-14 16:51:22 -07:00
backend-wasm.ts	[js/web] fix package export for bundlers (#23257)	2025-01-09 11:01:00 -08:00
build-def.d.ts	[js/web] fix package export for bundlers (#23257)	2025-01-09 11:01:00 -08:00
index.ts	[js/web] remove training release (#22103)	2024-09-16 10:56:22 -07:00
version.ts	bumps up version in main from 1.20 -> 1.21 (#22482)	2024-10-17 12:32:35 -07:00