@liangfu made the changes you suggested.
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What is the planned release date for 0.6?
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## Summary
This is an alternative implementation of a subset of the TVM runtime API (and
graph runtime) that focuses entirely on reducing code size, at the expense of
functionality (no tvm.extern(..) calls via PackedFunc, CPU only, etc). It might
be worth incrementally expanding the surface area i
This is a great step toward putting tvm into more resource constrained devices.
Given that we have another effort(uTVM @weberlo ) that aims to enable automatic
optimizations, we still lack a minimum runtime that we can serve on the device.
This PR seems to bring one great step toward that direc
@tqchen yes absolutely - from talking to you yesterday I hadn't thought of the
uTVM application, but it certainly could be interesting. One possible
improvement in that direction could be to create a mmap'able representation of
the parsed graph_json, i.e. these fields of `MinimalGraphRuntime`:
Most micro controllers do have stacks(heaps) and we just need to pre-define a
section in the memory space, and implement a arena style allocator (always
allocate without de-allocation) and at an RAII point recycles all memory
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Let's welcome Zhi as a new Apache TVM Committer!
You can view, comment on, or merge this pull request online at:
https://github.com/dmlc/tvm/pull/3572
-- Commit Summary --
* [Community] Zhi Chen -> Committer
-- File Changes --
M CONTRIBUTORS.md (1)
-- Patch Links --
https://github.c
+ 1 on getting this integrated with uTVM. @weberlo, care to take a look at this
PR and make some high-level comments?
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