Please join us to welcome [@mbrookhart](https://github.com/mbrookhart) as a new
committer.
Matthew is one of the major authors of pattern language in Relay, which has
been one of the essential infrastructure tools and has made pattern matching
much easier. Matthew has been quite active contri
@tqchen @junrushao1994 how much of the work do you think we can reuse once we
move to https://discuss.tvm.apache.org/t/rfc-tensorir-a-schedulable-ir-for-tvm?
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[Visit Topic](https://discuss.tvm.apache.org/t/rfc-cse-optimization/8130/4) to
respond.
You are receiving this because you ena
Thanks for the RFC. Nice finding and it looks good to me overall. Could you
also provide an example of how the user api looks like? Besides, what
information does Tensor Expression Tree provide in addition to Tensor?
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[Visit Topic](https://discuss.tvm.apache.org/t/rfc-cse-optimization/8
Please join us to welcome Luis Vega
([@vegaluisjose](https://github.com/vegaluisjose)) as a new Committer. Luis is
one of the major authors of Chisel backend in VTA and has been contributing to
VTA actively. He has expertise in accelerator design and related compiler
techniques. Luis is also a
[quote="wrongtest, post:3, topic:7960"]
If I have some common neural network structure such as resnet50 at hand, can I
just use autodiff to get backward computation graph?
[/quote]
graph-wise I think you can refer to
[relay.transform.gradient](https://github.com/apache/incubator-tvm/blob/master
