Output some basic info about the networks used

[vondele]

Adds size in memory as well as layer sizes as in

info string NNUE evaluation using nn-ae6a388e4a1a.nnue (132MiB, 22528 x 3072 x 15 x 32 x 1) 
info string NNUE evaluation using nn-baff1ede1f90.nnue (6MiB, 22528 x 128 x 15 x 32 x 1)

For example, the size in MiB is useful to keep the fishtest memory sizes up-to-date, the L1-L3 sizes give a useful hint about the architecture used.

No functional change

[ddobbelaere]

Good idea. Personally I find the multiplications a bit misleading, as they strictly only make sense layer per layer (to denote the number of weights). The tuple notation (22528, 3072, 15, 32, 1) that denotes the sequence of number of input, hidden and output neurons like I saw elsewhere feels better IMHO.

[vondele]

updated to

info string NNUE evaluation using nn-ae6a388e4a1a.nnue (132MiB, (22528, 3072, 15, 32, 1))
info string NNUE evaluation using nn-baff1ede1f90.nnue (6MiB, (22528, 128, 15, 32, 1))