Can this method split the graph automaticly given a torchscript, and convert
the subgraph that tvm Relay IR can support or tvm outperforming pytorch?
--
You are receiving this because you commented.
Reply to this email directly or view it on GitHub:
https://github.com/apache/tvm-rfcs/pull/25#iss
+1
--
You are receiving this because you are subscribed to this thread.
Reply to this email directly or view it on GitHub:
https://github.com/apache/tvm/issues/8928#issuecomment-916143196
@masahi @t-vi Please take another look :-)
--
You are receiving this because you commented.
Reply to this email directly or view it on GitHub:
https://github.com/apache/tvm-rfcs/pull/25#issuecomment-916379086
+1
--
You are receiving this because you are subscribed to this thread.
Reply to this email directly or view it on GitHub:
https://github.com/apache/tvm/issues/8928#issuecomment-916519549
Thanks to everyone who contributed in the past cycle! I would love to use this
thread to plan for the v0.8 release. The community has always been focusing on
high quality releases.
One of the major highlights in the past cycle is TensorIR scheduling, the new
low-level intermediate representatio
Thanks @MeeraN7 @giuseros, to make the discussion more concrete, right now the
IR after legalization looks like
```c++
for (i: int32, 0, 17;i+=VL) {
C_2[ramp(i, 1, VL)] = ((int8xVL*)A_2[ramp(i, 1, VL)] +
(int8xVL*)B_2[ramp(i, 1, VL)])
}
```
This would require changes such as the ramp da
Thanks for doing this work! There were some items listed on #7434, perhaps we
can start with those?
--
You are receiving this because you are subscribed to this thread.
Reply to this email directly or view it on GitHub:
https://github.com/apache/tvm/issues/8976#issuecomment-916667467
