Hi,
Very interesting work.
I was wondering about the need to [get all topological
sorts](https://github.com/tum-ei-eda/tvm/blob/tumeda_memplan/python/tvm/relay/memopt/simnet.py#L196).
How robust is this method given that there are many many topological sorts to
general DAGs?
I guess most man
Hey Andrew,
Thanks for sharing your progress.
Sadly I can't get your branch to build
```
[ 77%] Building CXX object
CMakeFiles/tvm_objs.dir/src/relay/backend/param_dict.cc.o
/home/areusch_tvm/src/relay/backend/graph_runtime_codegen.cc: In member
function ‘void tvm::relay::backend::AotCodegen:
Ah sorry.. I read that not as either or list :slight_smile:
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Hi,
Does `--bare-metal` imply that the C runtime has also been compiled and is part
of the `.o`?
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Glad to see a proposal which such functionality.
I have to admit that I had also done something similar to what you are
proposing (at least at the TE level).
One problem I had was enlargment of the tensor iteration domains
(https://discuss.tvm.apache.org/t/tvm-scheduling-split-factors-missma
I don't think there is one.
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Hi,
Even though I don't think I understood everything, I like the idea of solving
some of the limitations of `te.compute`. Since the `te.compute` is in a central
part of the TVM stack changing it requires a lot of work and understanding. So
thank you all for continuing such development.
Q1:
