Jiajia Qin 64dacc2892 [js/webgpu] Add BatchNormalization Op (#18468) ... ### Description This PR adds `BatchNormalization` with `float` support. Some Todos: 1. all inputs don't have same data type. For example, x/y is float16, but bias/scale is float32 or double. 2. training mode support. We see many models are using `BatchNormalization` ops. However, due to the missing in jsep, all of them run on cpu, which result very poor performance. With this PR's support, densenet-9 model becomes 20.29 ms from 250.69 ms.		2023-11-22 15:58:06 -08:00
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webgpu	[js/webgpu] Add BatchNormalization Op (#18468)	2023-11-22 15:58:06 -08:00
backend-webgpu.ts	[js/webgpu] Use builtin num_workgroups to fix shader key conflict (#18387)	2023-11-10 17:37:45 -08:00
init.ts	[js/webgpu] support using uniform buffer (#17803)	2023-10-10 00:31:12 -07:00
log.ts
tensor-view.ts	[js/web] revise TensorView (#17473)	2023-09-14 21:14:44 -07:00
util.ts	[js/webgpu] allow 0 sized tensor for tensor view (#16540)	2023-06-30 12:05:04 -07:00