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[mlir][Transforms] Dialect conversion: Simplify handling of dropped arguments #96207
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Is this just for the purpose of adaptors? What is the type of that one single value (the old type?). This seems a bit odd from a consistency perspective as that means the adaptors sees a value of the old type, not new. I don't think this can be fixed either without transitioning to the 1toN adaptors but the limitation may be worth documenting here.
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Kind of... Normally, we would pass on the new N values to the adaptor, but it only supports a single SSA value. @ingomueller-net's 1:N dialect conversion has new adapters that support multiple replacement values, but they cannot be used in the existing dialect conversion.
The adaptor does not see the old bbarg, but the result of
materializeArgumentConversion
. When that conversion it called, a result type is provided, which isconverter->convertType(oldBbArg.getType())
. So there is the expectation that the old bbarg type can be converted to a single new bbarg type. (Even though the block signature conversion that the user requested may split up the bbarg into multiple SSA block arguments.)So the flow is as follows (example):
applySignatureConversion
and instructs the dialect conversion to replace a bbarg%a
with 3 bbargs%b, %c, %d
. The types are specified by the users in theSignatureConversion
object.materializeArgumentConversion(/*inputs=*/ValueRange({%b, %c, %d}), /*outputType=*/converter->convertType(%a.getType()))
. The result of that argument conversion is what's visible to users in the adaptor.There was a problem hiding this comment.
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I see thank you! I am guessing/hoping that working 1:N dialect conversion is also part of your plans for the new dialect conversion framework 🙂
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Yes it is, though I have not figured out yet how to deal with the adaptors in a backward-compatible way.