GatherBlockQuantized shape inference test (#25769)
### Description
Fix GatherBlockQuantized shape inference test
### Motivation and Context
In GatherBlockQuantized op contrib_defs, we have shape inference test
```
for (int i = 0; i < r; ++i) {
if (!data_shape.dim(i).has_dim_value() ||
!scales_shape.dim(i).has_dim_value() ||
(i == quantize_axis && (data_shape.dim(i).dim_value() * components + block_size - 1) / block_size != scales_shape.dim(i).dim_value()) ||
(i != quantize_axis && data_shape.dim(i).dim_value() != scales_shape.dim(i).dim_value())) {
fail_shape_inference("data shape and scales shape do not match");
}
}
```
This code is introduced last year. However, when I try to share weight
for the phi-4-mini-instruct model
<img width="233" height="494" alt="image"
src="https://github.com/user-attachments/assets/9c220543-0b81-4867-bcd1-1b7aa49e20cd"
/>
I need to have a reshape operator into GatherBlockQuantized. The shape
inference of Reshape is not from the initializer directly, but from the
Concat which need to do some constant folding. Therefore, at the first
sweep of shape inference, `data_shape.dim(i).has_dim_value()` is
`False`, which will fail shape inference and the model cannot work.
Therefore, When we want to check shape inference, we need to only check
when `data_shape.dim(i).has_dim_value()=True`, same for `scales_shape`.
