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authorYuki Nishidate <30839669+yknishidate@users.noreply.github.com>2024-12-29 02:22:00 +0900
committerGitHub <noreply@github.com>2024-12-28 17:22:00 +0000
commitc4429bc33450be32ed82358c3974da58e5ec25ab (patch)
treebe20e7a4192d8a285e4f4136980686ac4a768179 /docs/user-guide/a2-01-spirv-target-specific.md
parent478be540a6f93ffcb552e496c41fe1c278ae054e (diff)
Fix tiny typos (#5944)
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@@ -291,7 +291,7 @@ Another way to put, Slang treats column as row and row as column when targeting
Due to the swap of row and column in terminology, the matrix multiplication needs to be performed little differently. Slang translates a matrix multiplication, `mul(mat1, mat2)`, to `transpose(mul(transpose(mat2), transpose(mat1)))` when targeting SPIR-V.
-Note that the matrix translation explained above is orthogoal to the memory layout of a matrix. The memory layout is related to how CPU places matrix values in the memory and how GPU reads them. It is like how `std140` or `std430` works. DXC by default uses `column_major` memory layout and Slang uses row-major memory layout. For more information about the matrix memory layout, please see [a1-01-matrix-layout](a1-01-matrix-layout.md).
+Note that the matrix translation explained above is orthogonal to the memory layout of a matrix. The memory layout is related to how CPU places matrix values in the memory and how GPU reads them. It is like how `std140` or `std430` works. DXC by default uses `column_major` memory layout and Slang uses row-major memory layout. For more information about the matrix memory layout, please see [a1-01-matrix-layout](a1-01-matrix-layout.md).
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