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fixing a lot of typos

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This commit is contained in:
Frédéric Chapoton
2024-07-30 22:15:49 +00:00
committed by Charles Schlosser
parent c29c800126
commit 6331da95eb
43 changed files with 73 additions and 74 deletions
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8
Eigen/src/Core/CoreEvaluators.h
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@@ -402,7 +402,7 @@ struct nullary_wrapper<Scalar, NullaryOp, false, false, false> {};
#if 0 && EIGEN_COMP_MSVC > 0
// Disable this ugly workaround. This is now handled in traits<Ref>::match,
// but this piece of code might still become handly if some other weird compilation
// erros pop up again.
// errors pop up again.
// MSVC exhibits a weird compilation error when
// compiling:
@@ -645,7 +645,7 @@ struct unary_evaluator<CwiseUnaryOp<core_cast_op<SrcType, DstType>, ArgType>, In
// There is no source packet type with equal or fewer elements than DstPacketType.
// This is problematic as the evaluation loop may attempt to access data outside the bounds of the array.
// For example, consider the cast utilizing pcast<Packet4f,Packet2d> with an array of size 4: {0.0f,1.0f,2.0f,3.0f}.
// The first iteration of the evaulation loop will load 16 bytes: {0.0f,1.0f,2.0f,3.0f} and cast to {0.0,1.0}, which
// The first iteration of the evaluation loop will load 16 bytes: {0.0f,1.0f,2.0f,3.0f} and cast to {0.0,1.0}, which
// is acceptable. The second iteration will load 16 bytes: {2.0f,3.0f,?,?}, which is outside the bounds of the array.
// Instead, perform runtime check to determine if the load would access data outside the bounds of the array.
@@ -701,7 +701,7 @@ struct unary_evaluator<CwiseUnaryOp<core_cast_op<SrcType, DstType>, ArgType>, In
srcPacket<SrcLoadMode>(row, col, 6), srcPacket<SrcLoadMode>(row, col, 7));
}
// Analagous routines for linear access.
// Analogous routines for linear access.
template <int LoadMode, typename DstPacketType, AltSrcScalarOp<DstPacketType> = true>
EIGEN_STRONG_INLINE DstPacketType packet(Index index) const {
constexpr int DstPacketSize = unpacket_traits<DstPacketType>::size;
@@ -838,7 +838,7 @@ struct ternary_evaluator<CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3>, IndexBased
Data m_d;
};
// specialization for expresions like (a < b).select(c, d) to enable full vectorization
// specialization for expressions like (a < b).select(c, d) to enable full vectorization
template <typename Arg1, typename Arg2, typename Scalar, typename CmpLhsType, typename CmpRhsType, ComparisonName cmp>
struct evaluator<CwiseTernaryOp<scalar_boolean_select_op<Scalar, Scalar, bool>, Arg1, Arg2,
CwiseBinaryOp<scalar_cmp_op<Scalar, Scalar, cmp, false>, CmpLhsType, CmpRhsType>>>