middle-end: Support complex Addition

This patch adds support for

  * Complex Addition with rotation of 90 and 270.

  Addition with rotation of the second argument around the Argand plane.
    Supported rotations are 90 and 180.

    c = a + (b * I) and c = a + (b * I * I * I)

gcc/ChangeLog:

	* tree-vect-slp-patterns.c: New file.
	* Makefile.in: Add it.
	* doc/passes.texi: Document it.
	* internal-fn.def (COMPLEX_ADD_ROT90, COMPLEX_ADD_ROT270): New.
	* optabs.def (cadd90_optab, cadd270_optab): New.
	* doc/md.texi: Document them.
	* tree-vect-loop.c (vect_analyze_loop_2): Add dissolve code.
	* tree-vect-slp.c:
	(vect_free_slp_instance, vect_create_new_slp_node): Export.
	(vect_match_slp_patterns_2, vect_match_slp_patterns): New.
	(vect_analyze_slp): Use it.
	* tree-vectorizer.h (vect_free_slp_tree): Export.
	(enum _complex_operation): Forward declare.
	(class vect_pattern): New

gcc/testsuite/ChangeLog:

	* lib/target-supports.exp
	(check_effective_target_arm_v8_3a_complex_neon_ok_nocache): Fix it.
	(check_effective_target_vect_complex_add_byte
	,check_effective_target_vect_complex_add_int
	,check_effective_target_vect_complex_add_short
	,check_effective_target_vect_complex_add_long
	,check_effective_target_vect_complex_add_half
	,check_effective_target_vect_complex_add_float
	,check_effective_target_vect_complex_add_double): New.
	* gcc.dg/vect/complex/bb-slp-complex-add-pattern-byte.c: New test.
	* gcc.dg/vect/complex/bb-slp-complex-add-pattern-int.c: New test.
	* gcc.dg/vect/complex/bb-slp-complex-add-pattern-long.c: New test.
	* gcc.dg/vect/complex/bb-slp-complex-add-pattern-short.c: New test.
	* gcc.dg/vect/complex/bb-slp-complex-add-pattern-unsigned-byte.c: New test.
	* gcc.dg/vect/complex/bb-slp-complex-add-pattern-unsigned-int.c: New test.
	* gcc.dg/vect/complex/bb-slp-complex-add-pattern-unsigned-long.c: New test.
	* gcc.dg/vect/complex/bb-slp-complex-add-pattern-unsigned-short.c: New test.
	* gcc.dg/vect/complex/complex-add-pattern-template.c: New test.
	* gcc.dg/vect/complex/complex-add-template.c: New test.
	* gcc.dg/vect/complex/complex-operations-run.c: New test.
	* gcc.dg/vect/complex/complex-operations.c: New test.
	* gcc.dg/vect/complex/complex.exp: New test.
	* gcc.dg/vect/complex/fast-math-bb-slp-complex-add-double.c: New test.
	* gcc.dg/vect/complex/fast-math-bb-slp-complex-add-float.c: New test.
	* gcc.dg/vect/complex/fast-math-bb-slp-complex-add-half-float.c: New test.
	* gcc.dg/vect/complex/fast-math-bb-slp-complex-add-pattern-double.c: New test.
	* gcc.dg/vect/complex/fast-math-bb-slp-complex-add-pattern-float.c: New test.
	* gcc.dg/vect/complex/fast-math-bb-slp-complex-add-pattern-half-float.c: New test.
	* gcc.dg/vect/complex/fast-math-complex-add-double.c: New test.
	* gcc.dg/vect/complex/fast-math-complex-add-float.c: New test.
	* gcc.dg/vect/complex/fast-math-complex-add-half-float.c: New test.
	* gcc.dg/vect/complex/fast-math-complex-add-pattern-double.c: New test.
	* gcc.dg/vect/complex/fast-math-complex-add-pattern-float.c: New test.
	* gcc.dg/vect/complex/fast-math-complex-add-pattern-half-float.c: New test.
	* gcc.dg/vect/complex/vect-complex-add-pattern-byte.c: New test.
	* gcc.dg/vect/complex/vect-complex-add-pattern-int.c: New test.
	* gcc.dg/vect/complex/vect-complex-add-pattern-long.c: New test.
	* gcc.dg/vect/complex/vect-complex-add-pattern-short.c: New test.
	* gcc.dg/vect/complex/vect-complex-add-pattern-unsigned-byte.c: New test.
	* gcc.dg/vect/complex/vect-complex-add-pattern-unsigned-int.c: New test.
	* gcc.dg/vect/complex/vect-complex-add-pattern-unsigned-long.c: New test.
	* gcc.dg/vect/complex/vect-complex-add-pattern-unsigned-short.c: New test.
This commit is contained in:
Tamar Christina 2020-12-13 13:54:48 +00:00
parent 10bbba9145
commit 3ed472af6b
43 changed files with 2078 additions and 21 deletions

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@ -1647,6 +1647,7 @@ OBJS = \
tree-vect-loop.o \ tree-vect-loop.o \
tree-vect-loop-manip.o \ tree-vect-loop-manip.o \
tree-vect-slp.o \ tree-vect-slp.o \
tree-vect-slp-patterns.o \
tree-vectorizer.o \ tree-vectorizer.o \
tree-vector-builder.o \ tree-vector-builder.o \
tree-vrp.o \ tree-vrp.o \

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@ -6154,6 +6154,54 @@ floating-point mode.
This pattern is not allowed to @code{FAIL}. This pattern is not allowed to @code{FAIL}.
@cindex @code{cadd90@var{m}3} instruction pattern
@item @samp{cadd90@var{m}3}
Perform vector add and subtract on even/odd number pairs. The operation being
matched is semantically described as
@smallexample
for (int i = 0; i < N; i += 2)
@{
c[i] = a[i] - b[i+1];
c[i+1] = a[i+1] + b[i];
@}
@end smallexample
This operation is semantically equivalent to performing a vector addition of
complex numbers in operand 1 with operand 2 rotated by 90 degrees around
the argand plane and storing the result in operand 0.
In GCC lane ordering the real part of the number must be in the even lanes with
the imaginary part in the odd lanes.
The operation is only supported for vector modes @var{m}.
This pattern is not allowed to @code{FAIL}.
@cindex @code{cadd270@var{m}3} instruction pattern
@item @samp{cadd270@var{m}3}
Perform vector add and subtract on even/odd number pairs. The operation being
matched is semantically described as
@smallexample
for (int i = 0; i < N; i += 2)
@{
c[i] = a[i] + b[i+1];
c[i+1] = a[i+1] - b[i];
@}
@end smallexample
This operation is semantically equivalent to performing a vector addition of
complex numbers in operand 1 with operand 2 rotated by 270 degrees around
the argand plane and storing the result in operand 0.
In GCC lane ordering the real part of the number must be in the even lanes with
the imaginary part in the odd lanes.
The operation is only supported for vector modes @var{m}.
This pattern is not allowed to @code{FAIL}.
@cindex @code{ffs@var{m}2} instruction pattern @cindex @code{ffs@var{m}2} instruction pattern
@item @samp{ffs@var{m}2} @item @samp{ffs@var{m}2}
Store into operand 0 one plus the index of the least significant 1-bit Store into operand 0 one plus the index of the least significant 1-bit

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@ -709,7 +709,8 @@ loop.
The pass is implemented in @file{tree-vectorizer.c} (the main driver), The pass is implemented in @file{tree-vectorizer.c} (the main driver),
@file{tree-vect-loop.c} and @file{tree-vect-loop-manip.c} (loop specific parts @file{tree-vect-loop.c} and @file{tree-vect-loop-manip.c} (loop specific parts
and general loop utilities), @file{tree-vect-slp} (loop-aware SLP and general loop utilities), @file{tree-vect-slp} (loop-aware SLP
functionality), @file{tree-vect-stmts.c} and @file{tree-vect-data-refs.c}. functionality), @file{tree-vect-stmts.c}, @file{tree-vect-data-refs.c} and
@file{tree-vect-slp-patterns.c} containing the SLP pattern matcher.
Analysis of data references is in @file{tree-data-ref.c}. Analysis of data references is in @file{tree-data-ref.c}.
SLP Vectorization. This pass performs vectorization of straight-line code. The SLP Vectorization. This pass performs vectorization of straight-line code. The

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@ -277,6 +277,9 @@ DEF_INTERNAL_FLT_FN (SCALB, ECF_CONST, scalb, binary)
DEF_INTERNAL_FLT_FLOATN_FN (FMIN, ECF_CONST, fmin, binary) DEF_INTERNAL_FLT_FLOATN_FN (FMIN, ECF_CONST, fmin, binary)
DEF_INTERNAL_FLT_FLOATN_FN (FMAX, ECF_CONST, fmax, binary) DEF_INTERNAL_FLT_FLOATN_FN (FMAX, ECF_CONST, fmax, binary)
DEF_INTERNAL_OPTAB_FN (XORSIGN, ECF_CONST, xorsign, binary) DEF_INTERNAL_OPTAB_FN (XORSIGN, ECF_CONST, xorsign, binary)
DEF_INTERNAL_OPTAB_FN (COMPLEX_ADD_ROT90, ECF_CONST, cadd90, binary)
DEF_INTERNAL_OPTAB_FN (COMPLEX_ADD_ROT270, ECF_CONST, cadd270, binary)
/* FP scales. */ /* FP scales. */
DEF_INTERNAL_FLT_FN (LDEXP, ECF_CONST, ldexp, binary) DEF_INTERNAL_FLT_FN (LDEXP, ECF_CONST, ldexp, binary)

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@ -290,6 +290,8 @@ OPTAB_D (atan_optab, "atan$a2")
OPTAB_D (atanh_optab, "atanh$a2") OPTAB_D (atanh_optab, "atanh$a2")
OPTAB_D (copysign_optab, "copysign$F$a3") OPTAB_D (copysign_optab, "copysign$F$a3")
OPTAB_D (xorsign_optab, "xorsign$F$a3") OPTAB_D (xorsign_optab, "xorsign$F$a3")
OPTAB_D (cadd90_optab, "cadd90$a3")
OPTAB_D (cadd270_optab, "cadd270$a3")
OPTAB_D (cos_optab, "cos$a2") OPTAB_D (cos_optab, "cos$a2")
OPTAB_D (cosh_optab, "cosh$a2") OPTAB_D (cosh_optab, "cosh$a2")
OPTAB_D (exp10_optab, "exp10$a2") OPTAB_D (exp10_optab, "exp10$a2")

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@ -0,0 +1,12 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_byte } */
/* { dg-require-effective-target stdint_types } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE int8_t
#define N 16
#include <stdint.h>
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "slp1" { xfail aarch64_sve2 } } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "slp1" { xfail aarch64_sve2 } } } */

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@ -0,0 +1,12 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_int } */
/* { dg-require-effective-target stdint_types } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE int32_t
#define N 16
#include <stdint.h>
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "slp1" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "slp1" { xfail aarch64_sve2 } } } */

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@ -0,0 +1,12 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_long } */
/* { dg-require-effective-target stdint_types } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE int64_t
#define N 16
#include <stdint.h>
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "slp1" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "slp1" { xfail aarch64_sve2 } } } */

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@ -0,0 +1,12 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_short } */
/* { dg-require-effective-target stdint_types } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE int16_t
#define N 16
#include <stdint.h>
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "slp1" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "slp1" { xfail aarch64_sve2 } } } */

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@ -0,0 +1,12 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_byte } */
/* { dg-require-effective-target stdint_types } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE uint8_t
#define N 16
#include <stdint.h>
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "slp1" { xfail aarch64_sve2 } } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "slp1" { xfail aarch64_sve2 } } } */

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@ -0,0 +1,12 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_int } */
/* { dg-require-effective-target stdint_types } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE uint32_t
#define N 16
#include <stdint.h>
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "slp1" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "slp1" { xfail aarch64_sve2 } } } */

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@ -0,0 +1,12 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_long } */
/* { dg-require-effective-target stdint_types } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE uint64_t
#define N 16
#include <stdint.h>
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "slp1" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "slp1" { xfail aarch64_sve2 } } } */

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@ -0,0 +1,12 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_short } */
/* { dg-require-effective-target stdint_types } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE uint16_t
#define N 16
#include <stdint.h>
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "slp1" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "slp1" { xfail aarch64_sve2 } } } */

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@ -0,0 +1,60 @@
void add90 (TYPE a[restrict N], TYPE b[restrict N], TYPE c[restrict N])
{
for (int i=0; i < N; i+=2)
{
c[i] = a[i] - b[i+1];
c[i+1] = a[i+1] + b[i];
}
}
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "vect" } } */
void add270 (TYPE a[restrict N], TYPE b[restrict N], TYPE c[restrict N])
{
for (int i=0; i < N; i+=2)
{
c[i] = a[i] + b[i+1];
c[i+1] = a[i+1] - b[i];
}
}
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "vect" } } */
void addMixed (TYPE a[restrict N], TYPE b[restrict N], TYPE c[restrict N])
{
for (int i=0; i < N; i+=4)
{
c[i] = a[i] - b[i+1];
c[i+1] = a[i+1] + b[i];
c[i+2] = a[i+2] + b[i+3];
c[i+3] = a[i+3] - b[i+2];
}
}
void add90HandUnrolled (TYPE a[restrict N], TYPE b[restrict N],
TYPE c[restrict N])
{
for (int i=0; i < (N /2); i+=4)
{
c[i] = a[i] - b[i+1];
c[i+2] = a[i+2] - b[i+3];
c[i+1] = a[i+1] + b[i];
c[i+3] = a[i+3] + b[i+2];
}
}
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "vect" } } */
void add90Hybrid (TYPE a[restrict N], TYPE b[restrict N], TYPE c[restrict N],
TYPE d[restrict N])
{
for (int i=0; i < N; i+=2)
{
c[i] = a[i] - b[i+1];
c[i+1] = a[i+1] + b[i];
d[i] = a[i] - b[i];
d[i+1] = a[i+1] - b[i+1];
}
}
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 2 "vect" } } */

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@ -0,0 +1,79 @@
#include <complex.h>
void add0 (_Complex TYPE a[restrict N], _Complex TYPE b[restrict N],
_Complex TYPE c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] + b[i];
}
void add90snd (_Complex TYPE a[restrict N], _Complex TYPE b[restrict N],
_Complex TYPE c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] + (b[i] * I);
}
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "vect" } } */
void add180snd (_Complex TYPE a[restrict N], _Complex TYPE b[restrict N],
_Complex TYPE c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] + (b[i] * I * I);
}
void add270snd (_Complex TYPE a[restrict N], _Complex TYPE b[restrict N],
_Complex TYPE c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] + (b[i] * I * I * I);
}
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "vect" } } */
void add90fst (_Complex TYPE a[restrict N], _Complex TYPE b[restrict N],
_Complex TYPE c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = (a[i] * I) + b[i];
}
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "vect" } } */
void add180fst (_Complex TYPE a[restrict N], _Complex TYPE b[restrict N],
_Complex TYPE c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = (a[i] * I * I) + b[i];
}
void add270fst (_Complex TYPE a[restrict N], _Complex TYPE b[restrict N],
_Complex TYPE c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = (a[i] * I * I * I) + b[i];
}
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "vect" } } */
void addconjfst (_Complex TYPE a[restrict N], _Complex TYPE b[restrict N],
_Complex TYPE c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = ~a[i] + b[i];
}
void addconjsnd (_Complex TYPE a[restrict N], _Complex TYPE b[restrict N],
_Complex TYPE c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] + ~b[i];
}
void addconjboth (_Complex TYPE a[restrict N], _Complex TYPE b[restrict N],
_Complex TYPE c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = ~a[i] + ~b[i];
}

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@ -0,0 +1,103 @@
/* { dg-do run } */
/* { dg-require-effective-target vect_complex_add_double } */
/* { dg-add-options arm_v8_3a_complex_neon } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#include <stdio.h>
#include <complex.h>
#include <string.h>
#include <float.h>
#include <math.h>
#define PREF old
#pragma GCC push_options
#pragma GCC optimize ("no-tree-vectorize")
# include "complex-operations.c"
#pragma GCC pop_options
#undef PREF
#define PREF new
# include "complex-operations.c"
#undef PREF
#define TYPE double
#define TYPE2 double
#define EP pow(2, -45)
#define xstr(s) str(s)
#define str(s) #s
#define FCMP(A, B) \
((fabs (creal (A) - creal (B)) <= EP) && (fabs (cimag (A) - cimag (B)) <= EP))
#define CMP(A, B) \
(FCMP(A,B) ? "PASS" : "FAIL")
#define COMPARE(A,B) \
memset (&c1, 0, sizeof (c1)); \
memset (&c2, 0, sizeof (c2)); \
A; B; \
if (!FCMP(c1[0],c2[0]) || !FCMP(c1[1], c2[1])) \
{ \
printf ("=> %s vs %s\n", xstr (A), xstr (B)); \
printf ("%a\n", creal (c1[0]) - creal (c2[0])); \
printf ("%a\n", cimag (c1[1]) - cimag (c2[1])); \
printf ("%.2f+%.2fI == %.2f+%.2fI (%s)\n", creal (c1[0]), cimag (c1[0]), creal (c2[0]), cimag (c2[0]), CMP (c1[0], c2[0])); \
printf ("%.2f+%.2fI == %.2f+%.2fI (%s)\n", creal (c1[1]), cimag (c1[1]), creal (c2[1]), cimag (c2[1]), CMP (c1[1], c2[1])); \
printf ("\n"); \
__builtin_abort (); \
}
int main ()
{
TYPE2 complex a[] = { 1.0 + 3.0 * I, 2.0 + 3.5 * I, 1.0 + 3.0 * I, 2.0 + 3.5 * I, 1.0 + 3.0 * I, 2.0 + 3.5 * I, 1.0 + 3.0 * I, 2.0 + 3.5 * I, 1.0 + 3.0 * I, 2.0 + 3.5 * I, 1.0 + 3.0 * I, 2.0 + 3.5 * I, 1.0 + 3.0 * I, 2.0 + 3.5 * I, 1.0 + 3.0 * I, 2.0 + 3.5 * I, 1.0 + 3.0 * I, 2.0 + 3.5 * I, 1.0 + 3.0 * I, 2.0 + 3.5 * I, 1.0 + 3.0 * I, 2.0 + 3.5 * I, 1.0 + 3.0 * I, 2.0 + 3.5 * I, 1.0 + 3.0 * I, 2.0 + 3.5 * I, 1.0 + 3.0 * I, 2.0 + 3.5 * I, 1.0 + 3.0 * I, 2.0 + 3.5 * I, 1.0 + 3.0 * I, 2.0 + 3.5 * I };
TYPE complex b[] = { 1.1 + 3.1 * I, 2.1 + 3.6 * I, 1.1 + 3.1 * I, 2.1 + 3.6 * I, 1.1 + 3.1 * I, 2.1 + 3.6 * I, 1.1 + 3.1 * I, 2.1 + 3.6 * I, 1.1 + 3.1 * I, 2.1 + 3.6 * I, 1.1 + 3.1 * I, 2.1 + 3.6 * I, 1.1 + 3.1 * I, 2.1 + 3.6 * I, 1.1 + 3.1 * I, 2.1 + 3.6 * I, 1.1 + 3.1 * I, 2.1 + 3.6 * I, 1.1 + 3.1 * I, 2.1 + 3.6 * I, 1.1 + 3.1 * I, 2.1 + 3.6 * I, 1.1 + 3.1 * I, 2.1 + 3.6 * I, 1.1 + 3.1 * I, 2.1 + 3.6 * I, 1.1 + 3.1 * I, 2.1 + 3.6 * I, 1.1 + 3.1 * I, 2.1 + 3.6 * I, 1.1 + 3.1 * I, 2.1 + 3.6 * I };
TYPE complex c2[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
TYPE complex c1[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
TYPE diff1, diff2;
COMPARE(fma0_old(a, b, c1), fma0_new(a, b, c2));
COMPARE(fma90_old(a, b, c1), fma90_new(a, b, c2));
COMPARE(fma180_old(a, b, c1), fma180_new(a, b, c2));
COMPARE(fma270_old(a, b, c1), fma270_new(a, b, c2));
COMPARE(fma0_snd_old(a, b, c1), fma0_snd_new(a, b, c2));
COMPARE(fma90_snd_old(a, b, c1), fma90_snd_new(a, b, c2));
COMPARE(fma180_snd_old(a, b, c1), fma180_snd_new(a, b, c2));
COMPARE(fma270_snd_old(a, b, c1), fma270_snd_new(a, b, c2));
COMPARE(fma_conj_first_old(a, b, c1), fma_conj_first_new(a, b, c2));
COMPARE(fma_conj_second_old(a, b, c1), fma_conj_second_new(a, b, c2));
COMPARE(fma_conj_both_old(a, b, c1), fma_conj_both_new(a, b, c2));
COMPARE(fms0_old(a, b, c1), fms0_new(a, b, c2));
COMPARE(fms90_old(a, b, c1), fms90_new(a, b, c2));
COMPARE(fms180_old(a, b, c1), fms180_new(a, b, c2));
COMPARE(fms270_old(a, b, c1), fms270_new(a, b, c2));
COMPARE(fms0_snd_old(a, b, c1), fms0_snd_new(a, b, c2));
COMPARE(fms90_snd_old(a, b, c1), fms90_snd_new(a, b, c2));
COMPARE(fms180_snd_old(a, b, c1), fms180_snd_new(a, b, c2));
COMPARE(fms270_snd_old(a, b, c1), fms270_snd_new(a, b, c2));
COMPARE(fms_conj_first_old(a, b, c1), fms_conj_first_new(a, b, c2));
COMPARE(fms_conj_second_old(a, b, c1), fms_conj_second_new(a, b, c2));
COMPARE(fms_conj_both_old(a, b, c1), fms_conj_both_new(a, b, c2));
COMPARE(mul0_old(a, b, c1), mul0_new(a, b, c2));
COMPARE(mul90_old(a, b, c1), mul90_new(a, b, c2));
COMPARE(mul180_old(a, b, c1), mul180_new(a, b, c2));
COMPARE(mul270_old(a, b, c1), mul270_new(a, b, c2));
COMPARE(mul0_snd_old(a, b, c1), mul0_snd_new(a, b, c2));
COMPARE(mul90_snd_old(a, b, c1), mul90_snd_new(a, b, c2));
COMPARE(mul180_snd_old(a, b, c1), mul180_snd_new(a, b, c2));
COMPARE(mul270_snd_old(a, b, c1), mul270_snd_new(a, b, c2));
COMPARE(mul_conj_first_old(a, b, c1), mul_conj_first_new(a, b, c2));
COMPARE(mul_conj_second_old(a, b, c1), mul_conj_second_new(a, b, c2));
COMPARE(mul_conj_both_old(a, b, c1), mul_conj_both_new(a, b, c2));
COMPARE(add0_old(a, b, c1), add0_new(a, b, c2));
COMPARE(add90_old(a, b, c1), add90_new(a, b, c2));
COMPARE(add180_old(a, b, c1), add180_new(a, b, c2));
COMPARE(add270_old(a, b, c1), add270_new(a, b, c2));
COMPARE(add0_snd_old(a, b, c1), add0_snd_new(a, b, c2));
COMPARE(add90_snd_old(a, b, c1), add90_snd_new(a, b, c2));
COMPARE(add180_snd_old(a, b, c1), add180_snd_new(a, b, c2));
COMPARE(add270_snd_old(a, b, c1), add270_snd_new(a, b, c2));
COMPARE(add_conj_first_old(a, b, c1), add_conj_first_new(a, b, c2));
COMPARE(add_conj_second_old(a, b, c1), add_conj_second_new(a, b, c2));
COMPARE(add_conj_both_old(a, b, c1), add_conj_both_new(a, b, c2));
}

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#include <stdio.h>
#include <complex.h>
#ifndef PREF
#define PREF c
#endif
#define FX(N,P) P ## _ ## N
#define MK(N,P) FX(P,N)
#define N 32
#define TYPE double
// ------ FMA
// Complex FMA instructions rotating the result
__attribute__((noinline,noipa))
void MK(fma0, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] += a[i] * b[i];
}
__attribute__((noinline,noipa))
void MK(fma90, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] += a[i] * b[i] * I;
}
__attribute__((noinline,noipa))
void MK(fma180, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] += a[i] * b[i] * I * I;
}
__attribute__((noinline,noipa))
void MK(fma270, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] += a[i] * b[i] * I * I * I;
}
// Complex FMA instructions rotating the second parameter.
__attribute__((noinline,noipa))
void MK(fma0_snd, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] += a[i] * b[i];
}
__attribute__((noinline,noipa))
void MK(fma90_snd, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] += a[i] * (b[i] * I);
}
__attribute__((noinline,noipa))
void MK(fma180_snd, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] += a[i] * (b[i] * I * I);
}
__attribute__((noinline,noipa))
void MK(fma270_snd, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] += a[i] * (b[i] * I * I * I);
}
// Complex FMA instructions with conjucated values.
__attribute__((noinline,noipa))
void MK(fma_conj_first, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] += conj (a[i]) * b[i];
}
__attribute__((noinline,noipa))
void MK(fma_conj_second, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] += a[i] * conj (b[i]);
}
__attribute__((noinline,noipa))
void MK(fma_conj_both, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] += conj (a[i]) * conj (b[i]);
}
// ----- FMS
// Complex FMS instructions rotating the result
__attribute__((noinline,noipa))
void MK(fms0, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] -= a[i] * b[i];
}
__attribute__((noinline,noipa))
void MK(fms90, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] -= a[i] * b[i] * I;
}
__attribute__((noinline,noipa))
void MK(fms180, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] -= a[i] * b[i] * I * I;
}
__attribute__((noinline,noipa))
void MK(fms270, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] -= a[i] * b[i] * I * I * I;
}
// Complex FMS instructions rotating the second parameter.
__attribute__((noinline,noipa))
void MK(fms0_snd, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] -= a[i] * b[i];
}
__attribute__((noinline,noipa))
void MK(fms90_snd, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] -= a[i] * (b[i] * I);
}
__attribute__((noinline,noipa))
void MK(fms180_snd, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] -= a[i] * (b[i] * I * I);
}
__attribute__((noinline,noipa))
void MK(fms270_snd, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] -= a[i] * (b[i] * I * I * I);
}
// Complex FMS instructions with conjucated values.
__attribute__((noinline,noipa))
void MK(fms_conj_first, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] -= conj (a[i]) * b[i];
}
__attribute__((noinline,noipa))
void MK(fms_conj_second, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] -= a[i] * conj (b[i]);
}
__attribute__((noinline,noipa))
void MK(fms_conj_both, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] -= conj (a[i]) * conj (b[i]);
}
// ----- MUL
// Complex MUL instructions rotating the result
__attribute__((noinline,noipa))
void MK(mul0, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] * b[i];
}
__attribute__((noinline,noipa))
void MK(mul90, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] * b[i] * I;
}
__attribute__((noinline,noipa))
void MK(mul180, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] * b[i] * I * I;
}
__attribute__((noinline,noipa))
void MK(mul270, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] * b[i] * I * I * I;
}
// Complex MUL instructions rotating the second parameter.
__attribute__((noinline,noipa))
void MK(mul0_snd, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] * b[i];
}
__attribute__((noinline,noipa))
void MK(mul90_snd, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] * (b[i] * I);
}
__attribute__((noinline,noipa))
void MK(mul180_snd, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] * (b[i] * I * I);
}
__attribute__((noinline,noipa))
void MK(mul270_snd, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] * (b[i] * I * I * I);
}
// Complex FMS instructions with conjucated values.
__attribute__((noinline,noipa))
void MK(mul_conj_first, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = conj (a[i]) * b[i];
}
__attribute__((noinline,noipa))
void MK(mul_conj_second, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] * conj (b[i]);
}
__attribute__((noinline,noipa))
void MK(mul_conj_both, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = conj (a[i]) * conj (b[i]);
}
// ----- ADD
// Complex ADD instructions rotating the result
__attribute__((noinline,noipa))
void MK(add0, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] + b[i];
}
__attribute__((noinline,noipa))
void MK(add90, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = (a[i] + b[i]) * I;
}
__attribute__((noinline,noipa))
void MK(add180, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = (a[i] + b[i]) * I * I;
}
__attribute__((noinline,noipa))
void MK(add270, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = (a[i] + b[i]) * I * I * I;
}
// Complex ADD instructions rotating the second parameter.
__attribute__((noinline,noipa))
void MK(add0_snd, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] + b[i];
}
__attribute__((noinline,noipa))
void MK(add90_snd, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] + (b[i] * I);
}
__attribute__((noinline,noipa))
void MK(add180_snd, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] + (b[i] * I * I);
}
__attribute__((noinline,noipa))
void MK(add270_snd, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] + (b[i] * I * I * I);
}
// Complex ADD instructions with conjucated values.
__attribute__((noinline,noipa))
void MK(add_conj_first, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = conj (a[i]) + b[i];
}
__attribute__((noinline,noipa))
void MK(add_conj_second, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = a[i] + conj (b[i]);
}
__attribute__((noinline,noipa))
void MK(add_conj_both, PREF) (TYPE complex a[restrict N], TYPE complex b[restrict N], TYPE complex c[restrict N])
{
for (int i=0; i < N; i++)
c[i] = conj (a[i]) + conj (b[i]);
}

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# Copyright (C) 1997-2020 Free Software Foundation, Inc.
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with GCC; see the file COPYING3. If not see
# <http://www.gnu.org/licenses/>.
# GCC testsuite that uses the `dg.exp' driver.
# Load support procs.
load_file $srcdir/$subdir/../vect.exp

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/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_double } */
/* { dg-add-options arm_v8_3a_complex_neon } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE double
#define N 16
#include "complex-add-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "slp1" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "slp1" } } */

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/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_float } */
/* { dg-add-options arm_v8_3a_complex_neon } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE float
#define N 16
#include "complex-add-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "slp1" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "slp1" } } */

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/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_half } */
/* { dg-add-options arm_v8_3a_fp16_complex_neon } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE _Float16
#define N 16
#include "complex-add-template.c"
/* Vectorization is failing for these cases. They should work but for now ignore. */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "slp1" { xfail *-*-* } } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "slp1" { xfail *-*-* } } } */

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/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_double } */
/* { dg-add-options arm_v8_3a_complex_neon } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE double
#define N 16
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "slp1" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "slp1" } } */

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/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_float } */
/* { dg-add-options arm_v8_3a_complex_neon } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE float
#define N 16
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "slp1" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "slp1" } } */

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/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_half } */
/* { dg-add-options arm_v8_3a_fp16_complex_neon } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE _Float16
#define N 16
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "slp1" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "slp1" { xfail arm*-*-* } } } */

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/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_double } */
/* { dg-add-options arm_v8_3a_complex_neon } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE double
#define N 200
#include "complex-add-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 2 "vect" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 2 "vect" } } */

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@ -0,0 +1,11 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_float } */
/* { dg-add-options arm_v8_3a_complex_neon } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE float
#define N 200
#include "complex-add-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 2 "vect" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 2 "vect" } } */

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@ -0,0 +1,11 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_half } */
/* { dg-add-options arm_v8_3a_fp16_complex_neon } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE _Float16
#define N 200
#include "complex-add-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 2 "vect" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 2 "vect" } } */

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@ -0,0 +1,11 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_double } */
/* { dg-add-options arm_v8_3a_complex_neon } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE double
#define N 200
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 4 "vect" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "vect" } } */

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@ -0,0 +1,11 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_float } */
/* { dg-add-options arm_v8_3a_complex_neon } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE float
#define N 200
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 4 "vect" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "vect" } } */

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@ -0,0 +1,12 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_half } */
/* { dg-add-options arm_v8_3a_fp16_complex_neon } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE _Float16
#define N 200
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 4 "vect" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "vect" } } */

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@ -0,0 +1,12 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_byte } */
/* { dg-require-effective-target stdint_types } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE int8_t
#define N 200
#include <stdint.h>
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "vect" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "vect" } } */

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@ -0,0 +1,12 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_int } */
/* { dg-require-effective-target stdint_types } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE int32_t
#define N 200
#include <stdint.h>
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "vect" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "vect" } } */

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@ -0,0 +1,12 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_long } */
/* { dg-require-effective-target stdint_types } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE int64_t
#define N 200
#include <stdint.h>
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "vect" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "vect" } } */

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@ -0,0 +1,12 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_short } */
/* { dg-require-effective-target stdint_types } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE int16_t
#define N 200
#include <stdint.h>
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "vect" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "vect" } } */

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@ -0,0 +1,12 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_byte } */
/* { dg-require-effective-target stdint_types } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE uint8_t
#define N 200
#include <stdint.h>
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "vect" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "vect" } } */

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@ -0,0 +1,12 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_int } */
/* { dg-require-effective-target stdint_types } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE uint32_t
#define N 200
#include <stdint.h>
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "vect" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "vect" } } */

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@ -0,0 +1,12 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_long } */
/* { dg-require-effective-target stdint_types } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE uint64_t
#define N 200
#include <stdint.h>
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "vect" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "vect" } } */

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@ -0,0 +1,12 @@
/* { dg-do compile } */
/* { dg-require-effective-target vect_complex_add_short } */
/* { dg-require-effective-target stdint_types } */
/* { dg-add-options arm_v8_1m_mve_fp } */
#define TYPE uint16_t
#define N 200
#include <stdint.h>
#include "complex-add-pattern-template.c"
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT90" 1 "vect" } } */
/* { dg-final { scan-tree-dump-times "stmt.*COMPLEX_ADD_ROT270" 1 "vect" } } */

View File

@ -3367,7 +3367,116 @@ proc check_effective_target_vect_int { } {
}}] }}]
} }
# Return 1 if the target supports signed int->float conversion # Return 1 if the target supports hardware vectorization of complex additions of
# byte, 0 otherwise.
#
# This won't change for different subtargets so cache the result.
proc check_effective_target_vect_complex_add_byte { } {
return [check_cached_effective_target_indexed vect_complex_add_byte {
expr {
([check_effective_target_aarch64_sve2]
&& [check_effective_target_aarch64_little_endian])
|| ([check_effective_target_arm_v8_1m_mve_fp_ok]
&& [check_effective_target_arm_little_endian])
}}]
}
# Return 1 if the target supports hardware vectorization of complex additions of
# short, 0 otherwise.
#
# This won't change for different subtargets so cache the result.
proc check_effective_target_vect_complex_add_short { } {
return [check_cached_effective_target_indexed vect_complex_add_short {
expr {
([check_effective_target_aarch64_sve2]
&& [check_effective_target_aarch64_little_endian])
|| ([check_effective_target_arm_v8_1m_mve_fp_ok]
&& [check_effective_target_arm_little_endian])
}}]
}
# Return 1 if the target supports hardware vectorization of complex additions of
# int, 0 otherwise.
#
# This won't change for different subtargets so cache the result.
proc check_effective_target_vect_complex_add_int { } {
return [check_cached_effective_target_indexed vect_complex_add_int {
expr {
([check_effective_target_aarch64_sve2]
&& [check_effective_target_aarch64_little_endian])
|| ([check_effective_target_arm_v8_1m_mve_fp_ok]
&& [check_effective_target_arm_little_endian])
}}]
}
# Return 1 if the target supports hardware vectorization of complex additions of
# long, 0 otherwise.
#
# This won't change for different subtargets so cache the result.
proc check_effective_target_vect_complex_add_long { } {
return [check_cached_effective_target_indexed vect_complex_add_long {
expr {
([check_effective_target_aarch64_sve2]
&& [check_effective_target_aarch64_little_endian])
|| ([check_effective_target_arm_v8_1m_mve_fp_ok]
&& [check_effective_target_arm_little_endian])
}}]
}
# Return 1 if the target supports hardware vectorization of complex additions of
# half, 0 otherwise.
#
# This won't change for different subtargets so cache the result.
proc check_effective_target_vect_complex_add_half { } {
return [check_cached_effective_target_indexed vect_complex_add_half {
expr {
([check_effective_target_arm_v8_3a_fp16_complex_neon_ok]
&& ([check_effective_target_aarch64_little_endian]
|| [check_effective_target_arm_little_endian]))
|| ([check_effective_target_aarch64_sve2]
&& [check_effective_target_aarch64_little_endian])
|| ([check_effective_target_arm_v8_1m_mve_fp_ok]
&& [check_effective_target_arm_little_endian])
}}]
}
# Return 1 if the target supports hardware vectorization of complex additions of
# float, 0 otherwise.
#
# This won't change for different subtargets so cache the result.
proc check_effective_target_vect_complex_add_float { } {
return [check_cached_effective_target_indexed vect_complex_add_float {
expr {
([check_effective_target_arm_v8_3a_complex_neon_ok]
&& ([check_effective_target_aarch64_little_endian]
|| [check_effective_target_arm_little_endian]))
|| ([check_effective_target_aarch64_sve2]
&& [check_effective_target_aarch64_little_endian])
|| ([check_effective_target_arm_v8_1m_mve_fp_ok]
&& [check_effective_target_arm_little_endian])
}}]
}
# Return 1 if the target supports hardware vectorization of complex additions of
# double, 0 otherwise.
#
# This won't change for different subtargets so cache the result.
proc check_effective_target_vect_complex_add_double { } {
return [check_cached_effective_target_indexed vect_complex_add_double {
expr {
([check_effective_target_aarch64_sve2]
&& [check_effective_target_aarch64_little_endian])
}}]
}
# Return 1 if the target supports signed int->float conversion
# #
proc check_effective_target_vect_intfloat_cvt { } { proc check_effective_target_vect_intfloat_cvt { } {
@ -10386,13 +10495,13 @@ proc check_effective_target_arm_v8_3a_complex_neon_ok_nocache { } {
# need to be added to the -march option. # need to be added to the -march option.
foreach flags {"" "-mfloat-abi=softfp -mfpu=auto" "-mfloat-abi=hard -mfpu=auto"} { foreach flags {"" "-mfloat-abi=softfp -mfpu=auto" "-mfloat-abi=hard -mfpu=auto"} {
if { [check_no_compiler_messages_nocache \ if { [check_no_compiler_messages_nocache \
arm_v8_3a_complex_neon_ok object { arm_v8_3a_complex_neon_ok assembly {
#if !defined (__ARM_FEATURE_COMPLEX) #if !defined (__ARM_FEATURE_COMPLEX)
#error "__ARM_FEATURE_COMPLEX not defined" #error "__ARM_FEATURE_COMPLEX not defined"
#endif #endif
} "$flags -march=armv8.3-a"] } { } "$flags -march=armv8.3-a"] } {
set et_arm_v8_3a_complex_neon_flags "$flags -march=armv8.3-a" set et_arm_v8_3a_complex_neon_flags "$flags -march=armv8.3-a"
return 1 return 1;
} }
} }
@ -10412,13 +10521,57 @@ proc add_options_for_arm_v8_3a_complex_neon { flags } {
return "$flags $et_arm_v8_3a_complex_neon_flags" return "$flags $et_arm_v8_3a_complex_neon_flags"
} }
# Return 1 if the target supports ARMv8.3 Adv.SIMD + FP16 Complex instructions
# instructions, 0 otherwise. The test is valid for ARM and for AArch64.
# Record the command line options needed.
proc check_effective_target_arm_v8_3a_fp16_complex_neon_ok_nocache { } {
global et_arm_v8_3a_fp16_complex_neon_flags
set et_arm_v8_3a_fp16_complex_neon_flags ""
if { ![istarget arm*-*-*] && ![istarget aarch64*-*-*] } {
return 0;
}
# Iterate through sets of options to find the compiler flags that
# need to be added to the -march option.
foreach flags {"" "-mfloat-abi=softfp -mfpu=auto" "-mfloat-abi=hard -mfpu=auto"} {
if { [check_no_compiler_messages_nocache \
arm_v8_3a_fp16_complex_neon_ok assembly {
#if !defined (__ARM_FEATURE_COMPLEX)
#error "__ARM_FEATURE_COMPLEX not defined"
#endif
} "$flags -march=armv8.3-a+fp16"] } {
set et_arm_v8_3a_fp16_complex_neon_flags \
"$flags -march=armv8.3-a+fp16"
return 1;
}
}
return 0;
}
proc check_effective_target_arm_v8_3a_fp16_complex_neon_ok { } {
return [check_cached_effective_target arm_v8_3a_fp16_complex_neon_ok \
check_effective_target_arm_v8_3a_fp16_complex_neon_ok_nocache]
}
proc add_options_for_arm_v8_3a_fp16_complex_neon { flags } {
if { ! [check_effective_target_arm_v8_3a_fp16_complex_neon_ok] } {
return "$flags"
}
global et_arm_v8_3a_fp16_complex_neon_flags
return "$flags $et_arm_v8_3a_fp16_complex_neon_flags"
}
# Return 1 if the target supports executing AdvSIMD instructions from ARMv8.3 # Return 1 if the target supports executing AdvSIMD instructions from ARMv8.3
# with the complex instruction extension, 0 otherwise. The test is valid for # with the complex instruction extension, 0 otherwise. The test is valid for
# ARM and for AArch64. # ARM and for AArch64.
proc check_effective_target_arm_v8_3a_complex_neon_hw { } { proc check_effective_target_arm_v8_3a_complex_neon_hw { } {
if { ![check_effective_target_arm_v8_3a_complex_neon_ok] } { if { ![check_effective_target_arm_v8_3a_complex_neon_ok] } {
return 0; return 1;
} }
return [check_runtime arm_v8_3a_complex_neon_hw_available { return [check_runtime arm_v8_3a_complex_neon_hw_available {
#include "arm_neon.h" #include "arm_neon.h"
@ -10443,7 +10596,7 @@ proc check_effective_target_arm_v8_3a_complex_neon_hw { } {
: /* No clobbers. */); : /* No clobbers. */);
#endif #endif
return (results[0] == 8 && results[1] == 24) ? 1 : 0; return (results[0] == 8 && results[1] == 24) ? 0 : 1;
} }
} [add_options_for_arm_v8_3a_complex_neon ""]] } [add_options_for_arm_v8_3a_complex_neon ""]]
} }

View File

@ -2698,9 +2698,13 @@ again:
STMT_SLP_TYPE (stmt_info) = loop_vect; STMT_SLP_TYPE (stmt_info) = loop_vect;
if (STMT_VINFO_IN_PATTERN_P (stmt_info)) if (STMT_VINFO_IN_PATTERN_P (stmt_info))
{ {
stmt_vec_info pattern_stmt_info
= STMT_VINFO_RELATED_STMT (stmt_info);
if (STMT_VINFO_SLP_VECT_ONLY (pattern_stmt_info))
STMT_VINFO_IN_PATTERN_P (stmt_info) = false;
gimple *pattern_def_seq = STMT_VINFO_PATTERN_DEF_SEQ (stmt_info); gimple *pattern_def_seq = STMT_VINFO_PATTERN_DEF_SEQ (stmt_info);
stmt_info = STMT_VINFO_RELATED_STMT (stmt_info); STMT_SLP_TYPE (pattern_stmt_info) = loop_vect;
STMT_SLP_TYPE (stmt_info) = loop_vect;
for (gimple_stmt_iterator pi = gsi_start (pattern_def_seq); for (gimple_stmt_iterator pi = gsi_start (pattern_def_seq);
!gsi_end_p (pi); gsi_next (&pi)) !gsi_end_p (pi); gsi_next (&pi))
STMT_SLP_TYPE (loop_vinfo->lookup_stmt (gsi_stmt (pi))) STMT_SLP_TYPE (loop_vinfo->lookup_stmt (gsi_stmt (pi)))

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@ -0,0 +1,720 @@
/* SLP - Pattern matcher on SLP trees
Copyright (C) 2020 Free Software Foundation, Inc.
This file is part of GCC.
GCC is free software; you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by the Free
Software Foundation; either version 3, or (at your option) any later
version.
GCC is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
for more details.
You should have received a copy of the GNU General Public License
along with GCC; see the file COPYING3. If not see
<http://www.gnu.org/licenses/>. */
#include "config.h"
#include "system.h"
#include "coretypes.h"
#include "backend.h"
#include "target.h"
#include "rtl.h"
#include "tree.h"
#include "gimple.h"
#include "tree-pass.h"
#include "ssa.h"
#include "optabs-tree.h"
#include "insn-config.h"
#include "recog.h" /* FIXME: for insn_data */
#include "fold-const.h"
#include "stor-layout.h"
#include "gimple-iterator.h"
#include "cfgloop.h"
#include "tree-vectorizer.h"
#include "langhooks.h"
#include "gimple-walk.h"
#include "dbgcnt.h"
#include "tree-vector-builder.h"
#include "vec-perm-indices.h"
#include "gimple-fold.h"
#include "internal-fn.h"
/* SLP Pattern matching mechanism.
This extension to the SLP vectorizer allows one to transform the generated SLP
tree based on any pattern. The difference between this and the normal vect
pattern matcher is that unlike the former, this matcher allows you to match
with instructions that do not belong to the same SSA dominator graph.
The only requirement that this pattern matcher has is that you are only
only allowed to either match an entire group or none.
The pattern matcher currently only allows you to perform replacements to
internal functions.
Once the patterns are matched it is one way, these cannot be undone. It is
currently not supported to match patterns recursively.
To add a new pattern, implement the vect_pattern class and add the type to
slp_patterns.
*/
/*******************************************************************************
* vect_pattern class
******************************************************************************/
/* Default implementation of recognize that performs matching, validation and
replacement of nodes but that can be overriden if required. */
static bool
vect_pattern_validate_optab (internal_fn ifn, slp_tree node)
{
tree vectype = SLP_TREE_VECTYPE (node);
if (ifn == IFN_LAST || !vectype)
return false;
if (dump_enabled_p ())
dump_printf_loc (MSG_NOTE, vect_location,
"Found %s pattern in SLP tree\n",
internal_fn_name (ifn));
if (direct_internal_fn_supported_p (ifn, vectype, OPTIMIZE_FOR_SPEED))
{
if (dump_enabled_p ())
dump_printf_loc (MSG_NOTE, vect_location,
"Target supports %s vectorization with mode %T\n",
internal_fn_name (ifn), vectype);
}
else
{
if (dump_enabled_p ())
{
if (!vectype)
dump_printf_loc (MSG_NOTE, vect_location,
"Target does not support vector type for %T\n",
SLP_TREE_DEF_TYPE (node));
else
dump_printf_loc (MSG_NOTE, vect_location,
"Target does not support %s for vector type "
"%T\n", internal_fn_name (ifn), vectype);
}
return false;
}
return true;
}
/*******************************************************************************
* General helper types
******************************************************************************/
/* The COMPLEX_OPERATION enum denotes the possible pair of operations that can
be matched when looking for expressions that we are interested matching for
complex numbers addition and mla. */
typedef enum _complex_operation : unsigned {
PLUS_PLUS,
MINUS_PLUS,
PLUS_MINUS,
MULT_MULT,
CMPLX_NONE
} complex_operation_t;
/*******************************************************************************
* General helper functions
******************************************************************************/
/* Helper function of linear_loads_p that checks to see if the load permutation
is sequential and in monotonically increasing order of loads with no gaps.
*/
static inline complex_perm_kinds_t
is_linear_load_p (load_permutation_t loads)
{
if (loads.length() == 0)
return PERM_UNKNOWN;
unsigned load, i;
complex_perm_kinds_t candidates[4]
= { PERM_EVENODD
, PERM_ODDEVEN
, PERM_ODDODD
, PERM_EVENEVEN
};
int valid_patterns = 4;
FOR_EACH_VEC_ELT_FROM (loads, i, load, 1)
{
if (candidates[0] != PERM_UNKNOWN && load != i)
{
candidates[0] = PERM_UNKNOWN;
valid_patterns--;
}
if (candidates[1] != PERM_UNKNOWN
&& load != (i % 2 == 0 ? i + 1 : i - 1))
{
candidates[1] = PERM_UNKNOWN;
valid_patterns--;
}
if (candidates[2] != PERM_UNKNOWN && load != 1)
{
candidates[2] = PERM_UNKNOWN;
valid_patterns--;
}
if (candidates[3] != PERM_UNKNOWN && load != 0)
{
candidates[3] = PERM_UNKNOWN;
valid_patterns--;
}
if (valid_patterns == 0)
return PERM_UNKNOWN;
}
for (i = 0; i < sizeof(candidates); i++)
if (candidates[i] != PERM_UNKNOWN)
return candidates[i];
return PERM_UNKNOWN;
}
/* Combine complex_perm_kinds A and B into a new permute kind that describes the
resulting operation. */
static inline complex_perm_kinds_t
vect_merge_perms (complex_perm_kinds_t a, complex_perm_kinds_t b)
{
if (a == b)
return a;
if (a == PERM_TOP)
return b;
if (b == PERM_TOP)
return a;
return PERM_UNKNOWN;
}
/* Check to see if all loads rooted in ROOT are linear. Linearity is
defined as having no gaps between values loaded. */
static complex_load_perm_t
linear_loads_p (slp_tree_to_load_perm_map_t *perm_cache, slp_tree root)
{
if (!root)
return std::make_pair (PERM_UNKNOWN, vNULL);
unsigned i;
complex_load_perm_t *tmp;
if ((tmp = perm_cache->get (root)) != NULL)
return *tmp;
complex_load_perm_t retval = std::make_pair (PERM_UNKNOWN, vNULL);
perm_cache->put (root, retval);
/* If it's a load node, then just read the load permute. */
if (SLP_TREE_LOAD_PERMUTATION (root).exists ())
{
retval.first = is_linear_load_p (SLP_TREE_LOAD_PERMUTATION (root));
retval.second = SLP_TREE_LOAD_PERMUTATION (root);
perm_cache->put (root, retval);
return retval;
}
else if (SLP_TREE_DEF_TYPE (root) != vect_internal_def)
{
retval.first = PERM_TOP;
return retval;
}
auto_vec<load_permutation_t> all_loads;
complex_perm_kinds_t kind = PERM_TOP;
slp_tree child;
FOR_EACH_VEC_ELT (SLP_TREE_CHILDREN (root), i, child)
{
complex_load_perm_t res = linear_loads_p (perm_cache, child);
kind = vect_merge_perms (kind, res.first);
if (kind == PERM_UNKNOWN)
return retval;
all_loads.safe_push (res.second);
}
if (SLP_TREE_LANE_PERMUTATION (root).exists ())
{
lane_permutation_t perm = SLP_TREE_LANE_PERMUTATION (root);
load_permutation_t nloads;
nloads.create (SLP_TREE_LANES (root));
nloads.quick_grow (SLP_TREE_LANES (root));
for (i = 0; i < SLP_TREE_LANES (root); i++)
nloads[i] = all_loads[perm[i].first][perm[i].second];
retval.first = kind;
retval.second = nloads;
}
else if (all_loads.length () == 1)
{
retval.first = kind;
retval.second = all_loads[0];
}
perm_cache->put (root, retval);
return retval;
}
/* This function attempts to make a node rooted in NODE is linear. If the node
if already linear than the node itself is returned in RESULT.
If the node is not linear then a new VEC_PERM_EXPR node is created with a
lane permute that when applied will make the node linear. If such a
permute cannot be created then FALSE is returned from the function.
Here linearity is defined as having a sequential, monotically increasing
load position inside the load permute generated by the loads reachable from
NODE. */
static slp_tree
vect_build_swap_evenodd_node (slp_tree node)
{
/* Attempt to linearise the permute. */
vec<std::pair<unsigned, unsigned> > zipped;
zipped.create (SLP_TREE_LANES (node));
for (unsigned x = 0; x < SLP_TREE_LANES (node); x+=2)
{
zipped.quick_push (std::make_pair (0, x+1));
zipped.quick_push (std::make_pair (0, x));
}
/* Create the new permute node and store it instead. */
slp_tree vnode = vect_create_new_slp_node (1, VEC_PERM_EXPR);
SLP_TREE_LANE_PERMUTATION (vnode) = zipped;
SLP_TREE_VECTYPE (vnode) = SLP_TREE_VECTYPE (node);
SLP_TREE_CHILDREN (vnode).quick_push (node);
SLP_TREE_REF_COUNT (vnode) = 1;
SLP_TREE_LANES (vnode) = SLP_TREE_LANES (node);
SLP_TREE_REPRESENTATIVE (vnode) = SLP_TREE_REPRESENTATIVE (node);
SLP_TREE_REF_COUNT (node)++;
return vnode;
}
/* Checks to see of the expression represented by NODE is a gimple assign with
code CODE. */
static inline bool
vect_match_expression_p (slp_tree node, tree_code code)
{
if (!node
|| !SLP_TREE_REPRESENTATIVE (node))
return false;
gimple* expr = STMT_VINFO_STMT (SLP_TREE_REPRESENTATIVE (node));
if (!is_gimple_assign (expr)
|| gimple_assign_rhs_code (expr) != code)
return false;
return true;
}
/* Check if the given lane permute in PERMUTES matches an alternating sequence
of {even odd even odd ...}. This to account for unrolled loops. Further
mode there resulting permute must be linear. */
static inline bool
vect_check_evenodd_blend (lane_permutation_t &permutes,
unsigned even, unsigned odd)
{
if (permutes.length () == 0)
return false;
unsigned val[2] = {even, odd};
unsigned seed = 0;
for (unsigned i = 0; i < permutes.length (); i++)
if (permutes[i].first != val[i % 2]
|| permutes[i].second != seed++)
return false;
return true;
}
/* This function will match the two gimple expressions representing NODE1 and
NODE2 in parallel and returns the pair operation that represents the two
expressions in the two statements.
If match is successful then the corresponding complex_operation is
returned and the arguments to the two matched operations are returned in OPS.
If TWO_OPERANDS it is expected that the LANES of the parent VEC_PERM select
from the two nodes alternatingly.
If unsuccessful then CMPLX_NONE is returned and OPS is untouched.
e.g. the following gimple statements
stmt 0 _39 = _37 + _12;
stmt 1 _6 = _38 - _36;
will return PLUS_MINUS along with OPS containing {_37, _12, _38, _36}.
*/
static complex_operation_t
vect_detect_pair_op (slp_tree node1, slp_tree node2, lane_permutation_t &lanes,
bool two_operands = true, vec<slp_tree> *ops = NULL)
{
complex_operation_t result = CMPLX_NONE;
if (vect_match_expression_p (node1, MINUS_EXPR)
&& vect_match_expression_p (node2, PLUS_EXPR)
&& (!two_operands || vect_check_evenodd_blend (lanes, 0, 1)))
result = MINUS_PLUS;
else if (vect_match_expression_p (node1, PLUS_EXPR)
&& vect_match_expression_p (node2, MINUS_EXPR)
&& (!two_operands || vect_check_evenodd_blend (lanes, 0, 1)))
result = PLUS_MINUS;
else if (vect_match_expression_p (node1, PLUS_EXPR)
&& vect_match_expression_p (node2, PLUS_EXPR))
result = PLUS_PLUS;
else if (vect_match_expression_p (node1, MULT_EXPR)
&& vect_match_expression_p (node2, MULT_EXPR))
result = MULT_MULT;
if (result != CMPLX_NONE && ops != NULL)
{
ops->create (2);
ops->quick_push (node1);
ops->quick_push (node2);
}
return result;
}
/* Overload of vect_detect_pair_op that matches against the representative
statements in the children of NODE. It is expected that NODE has exactly
two children and when TWO_OPERANDS then NODE must be a VEC_PERM. */
static complex_operation_t
vect_detect_pair_op (slp_tree node, bool two_operands = true,
vec<slp_tree> *ops = NULL)
{
if (!two_operands && SLP_TREE_CODE (node) == VEC_PERM_EXPR)
return CMPLX_NONE;
if (SLP_TREE_CHILDREN (node).length () != 2)
return CMPLX_NONE;
vec<slp_tree> children = SLP_TREE_CHILDREN (node);
lane_permutation_t &lanes = SLP_TREE_LANE_PERMUTATION (node);
return vect_detect_pair_op (children[0], children[1], lanes, two_operands,
ops);
}
/*******************************************************************************
* complex_pattern class
******************************************************************************/
/* SLP Complex Numbers pattern matching.
As an example, the following simple loop:
double a[restrict N]; double b[restrict N]; double c[restrict N];
for (int i=0; i < N; i+=2)
{
c[i] = a[i] - b[i+1];
c[i+1] = a[i+1] + b[i];
}
which represents a complex addition on with a rotation of 90* around the
argand plane. i.e. if `a` and `b` were complex numbers then this would be the
same as `a + (b * I)`.
Here the expressions for `c[i]` and `c[i+1]` are independent but have to be
both recognized in order for the pattern to work. As an SLP tree this is
represented as
+--------------------------------+
| stmt 0 *_9 = _10; |
| stmt 1 *_15 = _16; |
+--------------------------------+
|
|
v
+--------------------------------+
| stmt 0 _10 = _4 - _8; |
| stmt 1 _16 = _12 + _14; |
| lane permutation { 0[0] 1[1] } |
+--------------------------------+
| |
| |
| |
+-----+ | | +-----+
| | | | | |
+-----| { } |<-----+ +----->| { } --------+
| | | +------------------| | |
| +-----+ | +-----+ |
| | | |
| | | |
| +------|------------------+ |
| | | |
v v v v
+--------------------------+ +--------------------------------+
| stmt 0 _8 = *_7; | | stmt 0 _4 = *_3; |
| stmt 1 _14 = *_13; | | stmt 1 _12 = *_11; |
| load permutation { 1 0 } | | load permutation { 0 1 } |
+--------------------------+ +--------------------------------+
The pattern matcher allows you to replace both statements 0 and 1 or none at
all. Because this operation is a two operands operation the actual nodes
being replaced are those in the { } nodes. The actual scalar statements
themselves are not replaced or used during the matching but instead the
SLP_TREE_REPRESENTATIVE statements are inspected. You are also allowed to
replace and match on any number of nodes.
Because the pattern matcher matches on the representative statement for the
SLP node the case of two_operators it allows you to match the children of the
node. This is done using the method `recognize ()`.
*/
/* The complex_pattern class contains common code for pattern matchers that work
on complex numbers. These provide functionality to allow de-construction and
validation of sequences depicting/transforming REAL and IMAG pairs. */
class complex_pattern : public vect_pattern
{
protected:
auto_vec<slp_tree> m_workset;
complex_pattern (slp_tree *node, vec<slp_tree> *m_ops, internal_fn ifn)
: vect_pattern (node, m_ops, ifn)
{
this->m_workset.safe_push (*node);
}
public:
void build (vec_info *);
static internal_fn
matches (complex_operation_t op, slp_tree_to_load_perm_map_t *,
vec<slp_tree> *);
};
/* Create a replacement pattern statement for each node in m_node and inserts
the new statement into m_node as the new representative statement. The old
statement is marked as being in a pattern defined by the new statement. The
statement is created as call to internal function IFN with m_num_args
arguments.
Futhermore the new pattern is also added to the vectorization information
structure VINFO and the old statement STMT_INFO is marked as unused while
the new statement is marked as used and the number of SLP uses of the new
statement is incremented.
The newly created SLP nodes are marked as SLP only and will be dissolved
if SLP is aborted.
The newly created gimple call is returned and the BB remains unchanged.
This default method is designed to only match against simple operands where
all the input and output types are the same.
*/
void
complex_pattern::build (vec_info *vinfo)
{
stmt_vec_info stmt_info;
auto_vec<tree> args;
args.create (this->m_num_args);
args.quick_grow_cleared (this->m_num_args);
slp_tree node;
unsigned ix;
stmt_vec_info call_stmt_info;
gcall *call_stmt = NULL;
/* Now modify the nodes themselves. */
FOR_EACH_VEC_ELT (this->m_workset, ix, node)
{
/* Calculate the location of the statement in NODE to replace. */
stmt_info = SLP_TREE_REPRESENTATIVE (node);
gimple* old_stmt = STMT_VINFO_STMT (stmt_info);
tree lhs_old_stmt = gimple_get_lhs (old_stmt);
tree type = TREE_TYPE (lhs_old_stmt);
/* Create the argument set for use by gimple_build_call_internal_vec. */
for (unsigned i = 0; i < this->m_num_args; i++)
args[i] = lhs_old_stmt;
/* Create the new pattern statements. */
call_stmt = gimple_build_call_internal_vec (this->m_ifn, args);
tree var = make_temp_ssa_name (type, call_stmt, "slp_patt");
gimple_call_set_lhs (call_stmt, var);
gimple_set_location (call_stmt, gimple_location (old_stmt));
gimple_call_set_nothrow (call_stmt, true);
/* Adjust the book-keeping for the new and old statements for use during
SLP. This is required to get the right VF and statement during SLP
analysis. These changes are created after relevancy has been set for
the nodes as such we need to manually update them. Any changes will be
undone if SLP is cancelled. */
call_stmt_info
= vinfo->add_pattern_stmt (call_stmt, stmt_info);
/* Make sure to mark the representative statement pure_slp and
relevant. */
STMT_VINFO_RELEVANT (call_stmt_info) = vect_used_in_scope;
STMT_SLP_TYPE (call_stmt_info) = pure_slp;
/* add_pattern_stmt can't be done in vect_mark_pattern_stmts because
the non-SLP pattern matchers already have added the statement to VINFO
by the time it is called. Some of them need to modify the returned
stmt_info. vect_mark_pattern_stmts is called by recog_pattern and it
would increase the size of each pattern with boilerplate code to make
the call there. */
vect_mark_pattern_stmts (vinfo, stmt_info, call_stmt,
SLP_TREE_VECTYPE (node));
STMT_VINFO_SLP_VECT_ONLY (call_stmt_info) = true;
/* Since we are replacing all the statements in the group with the same
thing it doesn't really matter. So just set it every time a new stmt
is created. */
SLP_TREE_REPRESENTATIVE (node) = call_stmt_info;
SLP_TREE_LANE_PERMUTATION (node).release ();
SLP_TREE_CODE (node) = CALL_EXPR;
}
}
/*******************************************************************************
* complex_add_pattern class
******************************************************************************/
class complex_add_pattern : public complex_pattern
{
protected:
complex_add_pattern (slp_tree *node, vec<slp_tree> *m_ops, internal_fn ifn)
: complex_pattern (node, m_ops, ifn)
{
this->m_num_args = 2;
}
public:
void build (vec_info *);
static internal_fn
matches (complex_operation_t op, slp_tree_to_load_perm_map_t *,
vec<slp_tree> *);
static vect_pattern*
recognize (slp_tree_to_load_perm_map_t *, slp_tree *);
};
/* Perform a replacement of the detected complex add pattern with the new
instruction sequences. */
void
complex_add_pattern::build (vec_info *vinfo)
{
auto_vec<slp_tree> nodes;
slp_tree node = this->m_ops[0];
vec<slp_tree> children = SLP_TREE_CHILDREN (node);
/* First re-arrange the children. */
nodes.create (children.length ());
nodes.quick_push (children[0]);
nodes.quick_push (vect_build_swap_evenodd_node (children[1]));
SLP_TREE_CHILDREN (*this->m_node).truncate (0);
SLP_TREE_CHILDREN (*this->m_node).safe_splice (nodes);
complex_pattern::build (vinfo);
}
/* Pattern matcher for trying to match complex addition pattern in SLP tree.
If no match is found then IFN is set to IFN_LAST.
This function matches the patterns shaped as:
c[i] = a[i] - b[i+1];
c[i+1] = a[i+1] + b[i];
If a match occurred then TRUE is returned, else FALSE. The initial match is
expected to be in OP1 and the initial match operands in args0. */
internal_fn
complex_add_pattern::matches (complex_operation_t op,
slp_tree_to_load_perm_map_t *perm_cache,
vec<slp_tree> *ops)
{
internal_fn ifn = IFN_LAST;
/* Find the two components. Rotation in the complex plane will modify
the operations:
* Rotation 0: + +
* Rotation 90: - +
* Rotation 180: - -
* Rotation 270: + -
Rotation 0 and 180 can be handled by normal SIMD code, so we don't need
to care about them here. */
if (op == MINUS_PLUS)
ifn = IFN_COMPLEX_ADD_ROT90;
else if (op == PLUS_MINUS)
ifn = IFN_COMPLEX_ADD_ROT270;
else
return ifn;
/* verify that there is a permute, otherwise this isn't a pattern we
we support. */
gcc_assert (ops->length () == 2);
vec<slp_tree> children = SLP_TREE_CHILDREN ((*ops)[0]);
/* First node must be unpermuted. */
if (linear_loads_p (perm_cache, children[0]).first != PERM_EVENODD)
return IFN_LAST;
/* Second node must be permuted. */
if (linear_loads_p (perm_cache, children[1]).first != PERM_ODDEVEN)
return IFN_LAST;
return ifn;
}
/* Attempt to recognize a complex add pattern. */
vect_pattern*
complex_add_pattern::recognize (slp_tree_to_load_perm_map_t *perm_cache,
slp_tree *node)
{
auto_vec<slp_tree> ops;
complex_operation_t op
= vect_detect_pair_op (*node, true, &ops);
internal_fn ifn = complex_add_pattern::matches (op, perm_cache, &ops);
if (!vect_pattern_validate_optab (ifn, *node))
return NULL;
return new complex_add_pattern (node, &ops, ifn);
}
/*******************************************************************************
* Pattern matching definitions
******************************************************************************/
#define SLP_PATTERN(x) &x::recognize
vect_pattern_decl_t slp_patterns[]
{
/* For least amount of back-tracking and more efficient matching
order patterns from the largest to the smallest. Especially if they
overlap in what they can detect. */
SLP_PATTERN (complex_add_pattern),
};
#undef SLP_PATTERN
/* Set the number of SLP pattern matchers available. */
size_t num__slp_patterns = sizeof(slp_patterns)/sizeof(vect_pattern_decl_t);

View File

@ -133,7 +133,7 @@ _slp_tree::~_slp_tree ()
/* Recursively free the memory allocated for the SLP tree rooted at NODE. */ /* Recursively free the memory allocated for the SLP tree rooted at NODE. */
static void void
vect_free_slp_tree (slp_tree node) vect_free_slp_tree (slp_tree node)
{ {
int i; int i;
@ -177,17 +177,26 @@ vect_free_slp_instance (slp_instance instance)
/* Create an SLP node for SCALAR_STMTS. */ /* Create an SLP node for SCALAR_STMTS. */
slp_tree slp_tree
vect_create_new_slp_node (unsigned nops, tree_code code)
{
slp_tree node = new _slp_tree;
SLP_TREE_SCALAR_STMTS (node) = vNULL;
SLP_TREE_CHILDREN (node).create (nops);
SLP_TREE_DEF_TYPE (node) = vect_internal_def;
SLP_TREE_CODE (node) = code;
return node;
}
/* Create an SLP node for SCALAR_STMTS. */
static slp_tree
vect_create_new_slp_node (slp_tree node, vect_create_new_slp_node (slp_tree node,
vec<stmt_vec_info> scalar_stmts, unsigned nops) vec<stmt_vec_info> scalar_stmts, unsigned nops)
{ {
SLP_TREE_SCALAR_STMTS (node) = scalar_stmts; SLP_TREE_SCALAR_STMTS (node) = scalar_stmts;
SLP_TREE_CHILDREN (node).create (nops); SLP_TREE_CHILDREN (node).create (nops);
SLP_TREE_DEF_TYPE (node) = vect_internal_def; SLP_TREE_DEF_TYPE (node) = vect_internal_def;
if (scalar_stmts.exists ()) SLP_TREE_REPRESENTATIVE (node) = scalar_stmts[0];
{ SLP_TREE_LANES (node) = scalar_stmts.length ();
SLP_TREE_REPRESENTATIVE (node) = scalar_stmts[0];
SLP_TREE_LANES (node) = scalar_stmts.length ();
}
return node; return node;
} }
@ -239,7 +248,7 @@ typedef struct _slp_oprnd_info
/* Allocate operands info for NOPS operands, and GROUP_SIZE def-stmts for each /* Allocate operands info for NOPS operands, and GROUP_SIZE def-stmts for each
operand. */ operand. */
static vec<slp_oprnd_info> static vec<slp_oprnd_info>
vect_create_oprnd_info (int nops, int group_size) vect_create_oprnd_info (int nops, int group_size)
{ {
int i; int i;
@ -1136,7 +1145,7 @@ vect_build_slp_tree_1 (vec_info *vinfo, unsigned char *swap,
{ {
if (dump_enabled_p ()) if (dump_enabled_p ())
{ {
dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location, dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
"Build SLP failed: different operation " "Build SLP failed: different operation "
"in stmt %G", stmt); "in stmt %G", stmt);
dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location, dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
@ -2219,6 +2228,84 @@ calculate_unrolling_factor (poly_uint64 nunits, unsigned int group_size)
return exact_div (common_multiple (nunits, group_size), group_size); return exact_div (common_multiple (nunits, group_size), group_size);
} }
/* Helper function of vect_match_slp_patterns.
Attempts to match patterns against the slp tree rooted in REF_NODE using
VINFO. Patterns are matched in post-order traversal.
If matching is successful the value in REF_NODE is updated and returned, if
not then it is returned unchanged. */
static bool
vect_match_slp_patterns_2 (slp_tree *ref_node, vec_info *vinfo,
slp_tree_to_load_perm_map_t *perm_cache,
hash_set<slp_tree> *visited)
{
unsigned i;
slp_tree node = *ref_node;
bool found_p = false;
if (!node || visited->add (node))
return false;
slp_tree child;
FOR_EACH_VEC_ELT (SLP_TREE_CHILDREN (node), i, child)
found_p |= vect_match_slp_patterns_2 (&SLP_TREE_CHILDREN (node)[i],
vinfo, perm_cache, visited);
for (unsigned x = 0; x < num__slp_patterns; x++)
{
vect_pattern *pattern = slp_patterns[x] (perm_cache, ref_node);
if (pattern)
{
pattern->build (vinfo);
delete pattern;
found_p = true;
}
}
return found_p;
}
/* Applies pattern matching to the given SLP tree rooted in REF_NODE using
vec_info VINFO.
The modified tree is returned. Patterns are tried in order and multiple
patterns may match. */
static bool
vect_match_slp_patterns (slp_instance instance, vec_info *vinfo,
hash_set<slp_tree> *visited,
slp_tree_to_load_perm_map_t *perm_cache,
scalar_stmts_to_slp_tree_map_t * /* bst_map */)
{
DUMP_VECT_SCOPE ("vect_match_slp_patterns");
slp_tree *ref_node = &SLP_INSTANCE_TREE (instance);
if (dump_enabled_p ())
dump_printf_loc (MSG_NOTE, vect_location,
"Analyzing SLP tree %p for patterns\n",
SLP_INSTANCE_TREE (instance));
bool found_p
= vect_match_slp_patterns_2 (ref_node, vinfo, perm_cache, visited);
if (found_p)
{
if (dump_enabled_p ())
{
dump_printf_loc (MSG_NOTE, vect_location,
"Pattern matched SLP tree\n");
vect_print_slp_graph (MSG_NOTE, vect_location, *ref_node);
}
}
return found_p;
}
/* Analyze an SLP instance starting from a group of grouped stores. Call
vect_build_slp_tree to build a tree of packed stmts if possible.
Return FALSE if it's impossible to SLP any stmt in the loop. */
static bool static bool
vect_analyze_slp_instance (vec_info *vinfo, vect_analyze_slp_instance (vec_info *vinfo,
scalar_stmts_to_slp_tree_map_t *bst_map, scalar_stmts_to_slp_tree_map_t *bst_map,
@ -2586,6 +2673,7 @@ vect_analyze_slp (vec_info *vinfo, unsigned max_tree_size)
{ {
unsigned int i; unsigned int i;
stmt_vec_info first_element; stmt_vec_info first_element;
slp_instance instance;
DUMP_VECT_SCOPE ("vect_analyze_slp"); DUMP_VECT_SCOPE ("vect_analyze_slp");
@ -2648,6 +2736,13 @@ vect_analyze_slp (vec_info *vinfo, unsigned max_tree_size)
&limit); &limit);
} }
hash_set<slp_tree> visited_patterns;
slp_tree_to_load_perm_map_t perm_cache;
/* See if any patterns can be found in the SLP tree. */
FOR_EACH_VEC_ELT (LOOP_VINFO_SLP_INSTANCES (vinfo), i, instance)
vect_match_slp_patterns (instance, vinfo, &visited_patterns, &perm_cache,
bst_map);
/* The map keeps a reference on SLP nodes built, release that. */ /* The map keeps a reference on SLP nodes built, release that. */
for (scalar_stmts_to_slp_tree_map_t::iterator it = bst_map->begin (); for (scalar_stmts_to_slp_tree_map_t::iterator it = bst_map->begin ();
it != bst_map->end (); ++it) it != bst_map->end (); ++it)
@ -3973,7 +4068,7 @@ vect_bb_partition_graph (bb_vec_info bb_vinfo)
and return it. Do not account defs that are marked in LIFE and and return it. Do not account defs that are marked in LIFE and
update LIFE according to uses of NODE. */ update LIFE according to uses of NODE. */
static void static void
vect_bb_slp_scalar_cost (vec_info *vinfo, vect_bb_slp_scalar_cost (vec_info *vinfo,
slp_tree node, vec<bool, va_heap> *life, slp_tree node, vec<bool, va_heap> *life,
stmt_vector_for_cost *cost_vec, stmt_vector_for_cost *cost_vec,
@ -3984,7 +4079,7 @@ vect_bb_slp_scalar_cost (vec_info *vinfo,
slp_tree child; slp_tree child;
if (visited.add (node)) if (visited.add (node))
return; return;
FOR_EACH_VEC_ELT (SLP_TREE_SCALAR_STMTS (node), i, stmt_info) FOR_EACH_VEC_ELT (SLP_TREE_SCALAR_STMTS (node), i, stmt_info)
{ {
@ -4415,7 +4510,7 @@ vect_slp_analyze_bb_1 (bb_vec_info bb_vinfo, int n_stmts, bool &fatal,
{ {
dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location, dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
"Failed to SLP the basic block.\n"); "Failed to SLP the basic block.\n");
dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location, dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
"not vectorized: failed to find SLP opportunities " "not vectorized: failed to find SLP opportunities "
"in basic block.\n"); "in basic block.\n");
} }
@ -5297,7 +5392,7 @@ vect_transform_slp_perm_load (vec_info *vinfo,
if (!analyze_only) if (!analyze_only)
{ {
tree mask_vec = NULL_TREE; tree mask_vec = NULL_TREE;
if (! noop_p) if (! noop_p)
mask_vec = vect_gen_perm_mask_checked (vectype, indices); mask_vec = vect_gen_perm_mask_checked (vectype, indices);

View File

@ -26,6 +26,7 @@ typedef class _stmt_vec_info *stmt_vec_info;
#include "tree-data-ref.h" #include "tree-data-ref.h"
#include "tree-hash-traits.h" #include "tree-hash-traits.h"
#include "target.h" #include "target.h"
#include "internal-fn.h"
/* Used for naming of new temporaries. */ /* Used for naming of new temporaries. */
@ -2008,7 +2009,8 @@ extern void duplicate_and_interleave (vec_info *, gimple_seq *, tree,
vec<tree>, unsigned int, vec<tree> &); vec<tree>, unsigned int, vec<tree> &);
extern int vect_get_place_in_interleaving_chain (stmt_vec_info, stmt_vec_info); extern int vect_get_place_in_interleaving_chain (stmt_vec_info, stmt_vec_info);
extern bool vect_update_shared_vectype (stmt_vec_info, tree); extern bool vect_update_shared_vectype (stmt_vec_info, tree);
extern slp_tree vect_create_new_slp_node (vec<stmt_vec_info>, unsigned); extern slp_tree vect_create_new_slp_node (unsigned, tree_code);
extern void vect_free_slp_tree (slp_tree);
/* In tree-vect-patterns.c. */ /* In tree-vect-patterns.c. */
extern void extern void
@ -2025,4 +2027,84 @@ void vect_free_loop_info_assumptions (class loop *);
gimple *vect_loop_vectorized_call (class loop *, gcond **cond = NULL); gimple *vect_loop_vectorized_call (class loop *, gcond **cond = NULL);
bool vect_stmt_dominates_stmt_p (gimple *, gimple *); bool vect_stmt_dominates_stmt_p (gimple *, gimple *);
/* SLP Pattern matcher types, tree-vect-slp-patterns.c. */
/* Forward declaration of possible two operands operation that can be matched
by the complex numbers pattern matchers. */
enum _complex_operation : unsigned;
/* All possible load permute values that could result from the partial data-flow
analysis. */
typedef enum _complex_perm_kinds {
PERM_UNKNOWN,
PERM_EVENODD,
PERM_ODDEVEN,
PERM_ODDODD,
PERM_EVENEVEN,
/* Can be combined with any other PERM values. */
PERM_TOP
} complex_perm_kinds_t;
/* A pair with a load permute and a corresponding complex_perm_kind which gives
information about the load it represents. */
typedef std::pair<complex_perm_kinds_t, load_permutation_t>
complex_load_perm_t;
/* Cache from nodes to the load permutation they represent. */
typedef hash_map <slp_tree, complex_load_perm_t>
slp_tree_to_load_perm_map_t;
/* Vector pattern matcher base class. All SLP pattern matchers must inherit
from this type. */
class vect_pattern
{
protected:
/* The number of arguments that the IFN requires. */
unsigned m_num_args;
/* The internal function that will be used when a pattern is created. */
internal_fn m_ifn;
/* The current node being inspected. */
slp_tree *m_node;
/* The list of operands to be the children for the node produced when the
internal function is created. */
vec<slp_tree> m_ops;
/* Default constructor where NODE is the root of the tree to inspect. */
vect_pattern (slp_tree *node, vec<slp_tree> *m_ops, internal_fn ifn)
{
this->m_ifn = ifn;
this->m_node = node;
this->m_ops.create (0);
this->m_ops.safe_splice (*m_ops);
}
public:
/* Create a new instance of the pattern matcher class of the given type. */
static vect_pattern* recognize (slp_tree_to_load_perm_map_t *, slp_tree *);
/* Build the pattern from the data collected so far. */
virtual void build (vec_info *) = 0;
/* Default destructor. */
virtual ~vect_pattern ()
{
this->m_ops.release ();
}
};
/* Function pointer to create a new pattern matcher from a generic type. */
typedef vect_pattern* (*vect_pattern_decl_t) (slp_tree_to_load_perm_map_t *,
slp_tree *);
/* List of supported pattern matchers. */
extern vect_pattern_decl_t slp_patterns[];
/* Number of supported pattern matchers. */
extern size_t num__slp_patterns;
#endif /* GCC_TREE_VECTORIZER_H */ #endif /* GCC_TREE_VECTORIZER_H */