Jiajia Qin ccbe264a39 [js/webgpu] Add LeakyRelu activation for fusedConv (#19369) ... ### Description This PR 1) adds LeakyRelu activation for fusedConv; 2) makes `vec4<f16>` value work with `float32` uniforms attributes. For example: `clamp(value, vec4<f16>(uniforms.clip_min), vec4<f16>(uniforms.clip_max)` will throw compilation errors since `uniforms.clip_min` and `uniforms.clip_min` are `f32` not `f16`. So we need to change it to `clamp(value, vec4<f16>(f16(uniforms.clip_min)), vec4<f16>(f16(uniforms.clip_max))` And above problem was introduced when we make activation attributes as uniforms instead of constant. BTW, after adding LeakyRelu, `realesrgan-t256` model can pass.		2024-02-02 09:06:38 -08:00
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webgpu	[js/webgpu] Add LeakyRelu activation for fusedConv (#19369)	2024-02-02 09:06:38 -08:00
backend-webgpu.ts	[js/webgpu] Fix the undefined push error (#19366)	2024-02-02 02:04:06 -08:00
init.ts	[js/webgpu] Support capture and replay for jsep (#18989)	2024-01-30 18:28:03 -08:00
log.ts	[js/webgpu] support proxy for webgpu (#15851)	2023-05-15 16:23:13 -07:00
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