PaulPalomeroBernardo commented on PR #60:
URL: https://github.com/apache/tvm-rfcs/pull/60#issuecomment-1128673299
> This aligns with A2.2 -- directly registering each attribute.
@manupa-arm Then just for clarification a few questions because I might have
misunderstood your initial idea. For A2.1 you were thinking about registering
an attribute preprocessor to the target
`Target().add_attrs_preprocessor(Preprocessor)` that would operate on a
predefined attribute (e.g., `-uma_attrs=<string>`) by processing the `<string>`
and creating a Dict/Map from it?
So a user would only write `tvm.target.Target("ultra_trail -uma_attrs=<my
custom attr string>")` and in code you would access the target via
`target.attrs["uma_attrs"]["attr1"]`, `target.attrs["uma_attrs"]["attr2"]`,
ect.?
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