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Is it possible that we keep a backup doc for each release?
For example a tag option in the website that users can choose to see the doc of
0.7-release, 0.8-release, nightly...
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E... @junrushao1994 I guess @merrymercy 's opinion is that doing analysis in TE
is quicker than using the ISL.
ISL is sure a powerful tool for loop analyse, but in my understanding we should
lower the schedule to C code first before using ISL? Which I think is more time
consuming.
Currently,
Hi, it's nice to see strassen has attracted attention again. I would like to
know which hardware have you used and how many cores have you used?
Actually, it's easy to implement strassen in TVM, and I have tested this
algorithm with two different implementations.
TE version:
```python
def str
Thanks, this is really an interesting work! For those who have a requirement to
add their own modifications to use TVM, it will be very helpful!
I'm just thinking about how frequently will this new feature be used. IMHO,
advanced users who may benefit from it are more likely to write their C++
Thanks!
The pip package will be of great help if one just wants to run some simple
tests. And the developer docker images are also helpful, I have had trouble
building TVM in a old CentOS system which only have gcc 4.8 support.
BTW, I'm curious about the decision of releasing cuda100 with 101
Great work!
Have you tried tensorize intrinsic(e.g. TensorCore schedule) using this new IR?
Since I remember that to support tensorize is also one of your initial
motivations.
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The first PR of Ansor has been submitted at
https://github.com/apache/incubator-tvm/pull/5883
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