PDL natively has forward dataflow (if you opt in by using $pdl->doflow - see the next PDL CPAN version for an updated PDL::Dataflow doc that lays all this out, or check out the GitHub version in Basic/Pod), and has for decades.

Lazy evaluation currently only happens with slice-like operations, but there are plans to switch to lazy evaluation in order to have not only loop-fusion by creating custom operations that would e.g. do the a*b + c*d with only one round-trip from RAM through the CPU to RAM, but also GPU processing. See https://github.com/PDLPorters/pdl/issues/349 for discussion and/or to participate!

In reply to Re^3: Dataflow programming on CPU and GPU using AI::MXNet by etj
in thread Dataflow programming on CPU and GPU using AI::MXNet by bliako

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