Hello! In the GPU conv tutorial I see the following two lines:
```python
s[output].pragma(kernel_scope, 'auto_unroll_max_step',
cfg['auto_unroll_max_step'].val)
s[output].pragma(kernel_scope, 'unroll_explicit', cfg['unroll_explicit'].val)
```
I'm curious if these pragmas cover all the operators/nested loops, e.g. AA, WW
in the tutorial, that are attached under `kernel_scope` which is the first
`iter_var` of `output`? Generally, suppose I have a schedule looks like this:
```
for A {
for B {
}
for C {
}
}
```
If I set the kernel_scope to be `for A`, does it take effect on `for B` and
`for C`? If I want `for B` and `for C` to follow different pragmas, should I
define two separate groups of tunable knobs for both of them?
Thanks in advance!
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