[PATCH] D111529: Specify Clang vector builtins.

[Florian Hahn via Phabricator via cfe-commits]

fhahn updated this revision to Diff 380612.
fhahn marked an inline comment as done.
fhahn added a comment.

Following feedback from D111986 <https://reviews.llvm.org/D111986>, explicitly spell out abs behavior of most negative integer as undefined.


Repository:
  rG LLVM Github Monorepo

CHANGES SINCE LAST ACTION
  https://reviews.llvm.org/D111529/new/

https://reviews.llvm.org/D111529

Files:
  clang/docs/LanguageExtensions.rst


Index: clang/docs/LanguageExtensions.rst
===================================================================
--- clang/docs/LanguageExtensions.rst
+++ clang/docs/LanguageExtensions.rst
@@ -506,6 +506,83 @@
   If it's an extension (OpenCL) vector, it's only available in C and OpenCL C.
   And it selects base on signedness of the condition operands (OpenCL v1.1 s6.3.9).
 
+Vector Builtins
+---------------
+
+**Note: The implementation of vector builtins is work-in-progress and incomplete.**
+
+In addition to the operators mentioned above, Clang provides a set of builtins
+to perform additional operations on certain scalar and vector types.
+
+Let ``T`` be one of the following types:
+
+* an integer type (as in C2x 6.2.5p19), but excluding enumerated types and _Bool
+* the standard floating types float or double
+* a half-precision floating point type, if one is supported on the target
+* a vector type.
+
+For scalar types, consider the operation applied to a vector with a single element.
+
+*Elementwise Builtins*
+
+Each builtin returns a vector equivalent to applying the specified operation
+elementwise to the input.
+
+Unless specified otherwise operation(±0) = ±0 and operation(±infinity) = ±infinity
+
+========================================= ================================================================ =========================================
+         Name                              Operation                                                        Supported element types
+========================================= ================================================================ =========================================
+ T __builtin_elementwise_abs(T x)          return the absolute value of a number x; trying to take the      signed integer and floating point types
+                                           absolute value of the most negative integer is not defined
+ T __builtin_elementwise_ceil(T x)         return the smallest integral value greater than or equal to x    floating point types
+ T __builtin_elementwise_floor(T x)        return the largest integral value less than or equal to x        floating point types
+ T __builtin_elementwise_roundeven(T x)    round x to the nearest integer value in floating point format,   floating point types
+                                           rounding halfway cases to even (that is, to the nearest value
+                                           that is an even integer), regardless of the current rounding
+                                           direction.
+ T__builtin_elementwise_trunc(T x)         return the integral value nearest to but no larger in            floating point types
+                                           magnitude than x
+ T __builtin_elementwise_max(T x, T y)     return x or y, whichever is larger                               integer and floating point types
+ T __builtin_elementwise_min(T x, T y)     return x or y, whichever is smaller                              integer and floating point types
+========================================= ================================================================ =========================================
+
+
+*Reduction Builtins*
+
+Each builtin returns a scalar equivalent to applying the specified
+operation(x, y) as recursive even-odd pairwise reduction to all vector
+elements. ``operation(x, y)`` is repeatedly applied to each non-overlapping
+even-odd element pair with indices ``i * 2`` and ``i * 2 + 1`` with
+``i in [0, Number of elements / 2)``. If the numbers of elements is not a
+power of 2, the vector is widened with neutral elements for the reduction
+at the end to the next power of 2.
+
+Example:
+
+.. code-block:: c++
+
+    __builtin_reduce_add([e3, e2, e1, e0]) = __builtin_reduced_add([e3 + e2, e1 + e0])
+                                           = (e3 + e2) + (e1 + e0)
+
+
+Let ``VT`` be a vector type and ``ET`` the element type of ``VT``.
+
+======================================= ================================================================ ==================================
+         Name                            Operation                                                        Supported element types
+======================================= ================================================================ ==================================
+ ET __builtin_reduce_max(VT a)           return x or y, whichever is larger; If exactly one argument is   integer and floating point types
+                                         a NaN, return the other argument. If both arguments are NaNs,
+                                         fmax() return a NaN.
+ ET __builtin_reduce_min(VT a)           return x or y, whichever is smaller; If exactly one argument     integer and floating point types
+                                         is a NaN, return the other argument. If both arguments are
+                                         NaNs, fmax() return a NaN.
+ ET __builtin_reduce_add(VT a)           \+                                                               integer and floating point types
+ ET __builtin_reduce_and(VT a)           &                                                                integer types
+ ET __builtin_reduce_or(VT a)            \|                                                               integer types
+ ET __builtin_reduce_xor(VT a)           ^                                                                integer types
+======================================= ================================================================ ==================================
+
 Matrix Types
 ============
 


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