HCha/Stockfish
1
0
Fork 0
mirror of https://github.com/HChaZZY/Stockfish.git synced 2025-12-27 04:26:24 +08:00
Code Issues Packages Projects Releases Wiki Activity

Make casting styles consistent

Browse Source 
Make casting styles consistent with the rest of the code.

closes https://github.com/official-stockfish/Stockfish/pull/4793

No functional change
This commit is contained in:
cj5716
2023-09-19 18:06:12 +08:00
committed by Joost VandeVondele
parent 952740b36c
commit fce4cc1829
11 changed files with 56 additions and 56 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
src/nnue/evaluate_nnue.cpp
View File

@@ -139,7 +139,7 @@ namespace Stockfish::Eval::NNUE {
if (!Detail::write_parameters(stream, *featureTransformer)) return false;
for (std::size_t i = 0; i < LayerStacks; ++i)
if (!Detail::write_parameters(stream, *(network[i]))) return false;
return (bool)stream;
return bool(stream);
}
void hint_common_parent_position(const Position& pos) {
@@ -281,8 +281,8 @@ namespace Stockfish::Eval::NNUE {
// A lambda to output one box of the board
auto writeSquare = [&board](File file, Rank rank, Piece pc, Value value) {
const int x = ((int)file) * 8;
const int y = (7 - (int)rank) * 3;
const int x = int(file) * 8;
const int y = (7 - int(rank)) * 3;
for (int i = 1; i < 8; ++i)
board[y][x+i] = board[y+3][x+i] = '-';
for (int i = 1; i < 3; ++i)

2
src/nnue/layers/affine_transform.h
View File

@@ -310,7 +310,7 @@ namespace Stockfish::Eval::NNUE::Layers {
vec_t sum0 = vec_setzero();
const auto row0 = reinterpret_cast<const vec_t*>(&weights[0]);
for (int j = 0; j < (int)NumChunks; ++j)
for (int j = 0; j < int(NumChunks); ++j)
{
const vec_t in = inputVector[j];
vec_add_dpbusd_32(sum0, in, row0[j]);

2
src/nnue/layers/affine_transform_sparse_input.h
View File

@@ -102,7 +102,7 @@ namespace Stockfish::Eval::NNUE::Layers {
for (IndexType j = 0; j < InputsPerChunk; ++j)
{
const vec_t inputChunk = inputVector[i * InputsPerChunk + j];
nnz |= (unsigned)vec_nnz(inputChunk) << (j * InputSimdWidth);
nnz |= unsigned(vec_nnz(inputChunk)) << (j * InputSimdWidth);
}
for (IndexType j = 0; j < OutputsPerChunk; ++j)
{