A fundamental difference is that PGO requires a training run, and after that the code is static. A more dynamic system, like Dynamo, will rebuild the code as usage changes. Somewhat similar to rebuilding with PGO with a new training dataset, but on the fly.
Why would it? Depending on the architecture, comparing with 0 is often more efficient than with other values. Also multiplication is a much simpler operation than addition for floating-point values.
Philipp
They might be equivalent for the OP. The OP might have additional knowledge on the values of a and b.
Philipp
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