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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jsep	[js/webgpu] Optimize ConvTranspose (Continue) (#23429)	2025-01-22 08:59:17 -08:00
proxy-worker
proxy-messages.ts
proxy-wrapper.ts	[js/web] fix package export for bundlers (#23257)	2025-01-09 11:01:00 -08:00
run-options.ts
session-handler-inference.ts
session-options.ts	[JS/WebGPU] Support WASM64 (#21836)	2024-10-24 20:21:51 -07:00
wasm-common.ts	[WebNN] Support int4 and uint4 data types (#22575)	2024-10-25 17:44:46 -07:00
wasm-core-impl.ts	[js/common] use TS type inference to eliminate unknown (#23012)	2024-12-04 19:01:26 -08:00
wasm-factory.ts	[js/web] fix package export for bundlers (#23257)	2025-01-09 11:01:00 -08:00
wasm-types.ts	[WebNN] Fixed WebNN Module undefined issue (#22795)	2024-11-11 21:31:24 -08:00
wasm-utils-env.ts
wasm-utils-import.ts	[js/web] fix package export for bundlers (#23257)	2025-01-09 11:01:00 -08:00
wasm-utils-load-file.ts
wasm-utils.ts	[JS/WebGPU] Support WASM64 (#21836)	2024-10-24 20:21:51 -07:00