![]() See this answer, and this one for more details. In contrast, transpose and permute change the underlying order of elements in the tensor. Reshape and view only affect the shape of a tensor, but d not change the underlying order of elements. Transposing/permuting and view/reshape are NOT the same! So in the end, yes you end up with two different results: C shares the same data as A, while B is a copy and has a different memory layout. building a view on top of a tensor doesn't change its memory layout, it's an abstraction level to better manipulate tensors. By layout I mean memory arrangement, I am not referring to its shape which is irrelevant: > B.flatten() In terms of memory layout A has the following memory arangement: > A.flatten() Here swapping axis=1 and axis=2 comes down to a batched transpose (in mathematical terms): > B = A.transpose(2, 1) If you take a smaller example, something we can grasp more easily: > A = torch.rand(1, 4, 3) What it comes down to is a contiguous memory data buffer. The view at the end is just a nice interface for you to access your data but it has no effect on the underlying data of your tensor. Total: 104988 W: 27152 L: 26697 D: 51139 Elo +1.The difference between B and C is that you have used anspose which means you have swapped two axes, this means you have changed the layout of the memory. In futility pruning for cutnodes that are not in TT. This is somewhat similar to IIR for cutnodes but instead of reducingĭepth for cutnodes that don't have tt move we reduce margin multiplier This could reduceĪ bit the losses on time on fishtest, but they are probably unrelated. Roughly 2x slowdown in nps with SFNNUEv7 into account. Master value was tuned for the old classical eval, the patch takes the This patch changes the frequency with which the time is checked, changingįrequency from every 1024 counted nodes to every 512 counted nodes. To simplify a little bit the conditions further down in the code. Use the assert which ensures that beta = alpha+1 at PVNodes ![]() Remove the exact bound condition from TT depth check. Remove unused return type from propagate()Īlso make two get_weight_index() static methods constexpr, forĬonsistency with the other static get_hash_value() method right above. clarify the examples for the bench command Windows 圆4 for Haswell CPUs Windows 圆4 for modern computers + AVX2 Windows 圆4 for modern computers Windows 圆4 + SSSE3 Windows 圆4 Linux 圆4 for Haswell CPUs Linux 圆4 for modern computers + AVX2 Linux 圆4 for modern computers Linux 圆4 + SSSE3 Linux 圆4 So for example a queen moving to a square attackedīy a pawn would receive a larger penalty than a queen moving to square attacked In this patch, in addition toīonuses for evading threats, we apply penalties to moves moving to threatenedįurther tweaks of that basic idea resulted in this specific version whichįurther increases the penalty of moves moving to squares threatend depending ![]() ![]() In our move picker to moves escaping threats. The original idea is the reverse of a previous patch which added bonuses Malus during move ordering for putting pieces en prise !! latest version !! Windows 圆4 for Haswell CPUs Windows 圆4 for modern computers + AVX2 Windows 圆4 for modern computers Windows 圆4 + SSSE3 Windows 圆4 Linux 圆4 for Haswell CPUs Linux 圆4 for modern computers + AVX2 Linux 圆4 for modern computers Linux 圆4 + SSSE3 Linux 圆4 They are compiled with gcc 11.2/mingw 10 on Ubuntu 22.04. Stockfish Development Versions are build automatically if there are changes on the master branch in the git repository (). ![]()
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