2023-09-25: Texel 1.10 (ELO: +173)

Speed up evaluation:

• More handwritten code using compiler intrinsics.
• Switch from gcc to clang for Windows compiles.
• Cache-line align data for more efficient SIMD load/store.
• Avoid "horizontal adds" in matrix multiplication by re-arranging weight data
  ahead of time.

Better neural network:

• Train a new network based on new training data evaluated by Texel 1.09.
• Use both search scores and game results when generating training data.
• Compute quantized validation error during training.
• Set unused layer 1 weights to 0 during training, to reduce compressed network
  size.
• Print weight/bias statistics during net quantization, to make it possible to
  see if quantization parameters are reasonable.
• Permute the quantized net for more efficient sparse handling of the outputs
  from the first layer.

Compilation fixes:

• Fix Visual Studio debug compilation.
• Fix cygwin/msys2 compilation problems.
• Better SIMD support for 32-bit CPUs.

Other:

• Add source code for "syncengine" program.
• Allow MultiPV mode also when playing games.
• Re-introduce evaluation score reduction when the half-move clock is large.
  No strength improvement but avoids shuffling moves in some situations.