### Description
The Web CI pipeline uses three different Windows machine pools:
1. onnxruntime-Win2022-webgpu-A10
2. onnxruntime-Win2022-VS2022-webgpu-A10
3. onnxruntime-Win-CPU-2022-web
This PR merges them together to reduce ongoing maintenance cost.
### Description
Those test cases start to fail for unknown reasons.
To unblock the CI, I disabled those tests temporarily to earn time to
investigate the root cause.
Bug:https://github.com/microsoft/onnxruntime/issues/21467
### Description
<!-- Describe your changes. -->
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
### 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.
### Description
Added FusedConv and FusedConvTranspose
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
Improve performance
