[quote="Hzfengsy, post:1, topic:7872"]
#### TensorIR:
```
with tir.block([10]) as vi:
B[vi] = A0[vi]
with tir.block([10]) as vi:
B[vi + 10] = A1[vi]
with tir.block([10]) as vi:
B[vi + 20] = A2[vi]
```
The critical improvement is performance. In TIR we optimize the program by
deprecating the `if` branch, which is impossible in the TE schedule.
[/quote]
This looks confusing to me because there is no example showing how to schedule
the three blocks.
I'm curious if TIR's Block construct is strong enough to support holistic
fusion like [Rammer](https://www.usenix.org/system/files/osdi20-ma.pdf) and
[HFuse](https://arxiv.org/pdf/2007.01277.pdf), where different Block has
heterogeneous workload but we can fuse them in a single kernel. If so we can
make such fusion a primitive in TIR schedule and enlarge the auto-scheduling
search space.
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