@sho no problem, apologies if this is a bit confusing.
[quote="sho, post:5, topic:11682"]
As you probably know, I was confused about LLVM, and how it is used. So LLVM is
used to build TVM compiler. LLVM also works when you input your model into TVM
compiler and get TVM’s IR. LLVM compiles the TVM’s IR, and produces
executables. (I’m still not sure where gcc is used when you build TVM from
source though…)
[/quote]
There are actually two roles LLVM *could* play in TVM:
1. To build TVM from source
2. As a Target backend (e.g. `relay.build(..., target="llvm")`), in which case
TVM *links* against LLVM (e.g. LLVM is a static library) at compile time, and
TVM then contains the code-generation pieces of LLVM and is in turn able to
emit machine code to implement a model, just like LLVM does.
[quote="sho, post:5, topic:11682"]
You don’t alway need to use LLVM. In that case, you specify ‘c’ as the target,
and get your C code ready. You can use this C code, the runtime and your other
programs to build with your own compiler, and run inference on MCUs.
[/quote]
This is correct. TVM's compilation flow is:
1. import models into Relay
2. "lower" Relay into TIR
3. "codegen" TIR to match the target. `// Target("llvm") or Target("c") mostly
matters here`
So the final codegen step is where TIR is translated into some type of machine
code. That could be LLVM's Intermediate Representation (which we can generate
when TVM is linked against LLVM--like in kind #2 above), C source code, CUDA
code, or other types.
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