OpenMP: Fix var replacement with 'simd' and linear-step vars [PR106548]

gcc/ChangeLog:

	PR middle-end/106548
	* omp-low.cc (lower_rec_input_clauses): Use build_outer_var_ref
	for 'simd' linear-step values that are variable.

libgomp/ChangeLog:

	PR middle-end/106548
	* testsuite/libgomp.c/linear-2.c: New test.

1 files changed, 254 insertions, 0 deletions

diff --git a/libgomp/testsuite/libgomp.c/linear-2.c b/libgomp/testsuite/libgomp.c/linear-2.c
new file mode 100644
index 0000000..fd549a8
--- /dev/null
+++ b/libgomp/testsuite/libgomp.c/linear-2.c
@@ -0,0 +1,254 @@
+/* PR middle-end/106548.  */
+/* { dg-additional-options "-msse2" { target sse2_runtime } } */
+/* { dg-additional-options "-mavx" { target avx_runtime } } */
+
+int a[256];
+
+__attribute__((noinline, noclone)) int
+f1 (int i)
+{
+  #pragma omp parallel for simd linear (i: 4)
+  for (int j = 16; j < 64; j++)
+    {
+      a[i] = j;
+      i += 4;
+    }
+  return i;
+}
+
+__attribute__((noinline, noclone)) short int
+f2 (short int i, char k)
+{
+  #pragma omp parallel for simd linear (i: k + 1)
+  for (long j = 16; j < 64; j++)
+    {
+      a[i] = j;
+      i += 4;
+    }
+  return i;
+}
+
+__attribute__((noinline, noclone)) long long int
+f3 (long long int i, long long int k)
+{
+  #pragma omp parallel for simd linear (i: k)
+  for (short j = 16; j < 64; j++)
+    {
+      a[i] = j;
+      i += 4;
+    }
+  return i;
+}
+
+__attribute__((noinline, noclone)) int
+f4 (int i)
+{
+  #pragma omp parallel for simd linear (i: 4) schedule(static, 3)
+  for (int j = 16; j < 64; j++)
+    {
+      a[i] = j;
+      i += 4;
+    }
+  return i;
+}
+
+__attribute__((noinline, noclone)) short int
+f5 (short int i, char k)
+{
+  #pragma omp parallel for simd linear (i: k + 1) schedule(static, 5)
+  for (long j = 16; j < 64; j++)
+    {
+      a[i] = j;
+      i += 4;
+    }
+  return i;
+}
+
+__attribute__((noinline, noclone)) long long int
+f6 (long long int i, long long int k)
+{
+  #pragma omp parallel for simd linear (i: k) schedule(static, 7)
+  for (short j = 16; j < 64; j++)
+    {
+      a[i] = j;
+      i += 4;
+    }
+  return i;
+}
+
+__attribute__((noinline, noclone)) int
+f7 (int i)
+{
+  #pragma omp parallel for simd linear (i: 4) schedule(dynamic, 3)
+  for (int j = 16; j < 64; j++)
+    {
+      a[i] = j;
+      i += 4;
+    }
+  return i;
+}
+
+__attribute__((noinline, noclone)) short int
+f8 (short int i, char k)
+{
+  #pragma omp parallel for simd linear (i: k + 1) schedule(dynamic, 5)
+  for (long j = 16; j < 64; j++)
+    {
+      a[i] = j;
+      i += 4;
+    }
+  return i;
+}
+
+__attribute__((noinline, noclone)) long long int
+f9 (long long int i, long long int k)
+{
+  #pragma omp parallel for simd linear (i: k) schedule(dynamic, 7)
+  for (short j = 16; j < 64; j++)
+    {
+      a[i] = j;
+      i += 4;
+    }
+  return i;
+}
+
+__attribute__((noinline, noclone)) int
+f10 (int i, long step)
+{
+  #pragma omp parallel for simd linear (i: 4)
+  for (int j = 16; j < 112; j += step)
+    {
+      a[i] = j / 2 + 8;
+      i += 4;
+    }
+  return i;
+}
+
+__attribute__((noinline, noclone)) short int
+f11 (short int i, char k, char step)
+{
+  #pragma omp parallel for simd linear (i: k + 1)
+  for (long j = 16; j < 112; j += step)
+    {
+      a[i] = j / 2 + 8;
+      i += 4;
+    }
+  return i;
+}
+
+__attribute__((noinline, noclone)) long long int
+f12 (long long int i, long long int k, int step)
+{
+  #pragma omp parallel for simd linear (i: k)
+  for (short j = 16; j < 112; j += step)
+    {
+      a[i] = j / 2 + 8;
+      i += 4;
+    }
+  return i;
+}
+
+__attribute__((noinline, noclone)) int
+f13 (int i, long long int step)
+{
+  #pragma omp parallel for simd linear (i: 4) schedule(static, 3)
+  for (int j = 16; j < 112; j += step)
+    {
+      a[i] = j / 2 + 8;
+      i += 4;
+    }
+  return i;
+}
+
+__attribute__((noinline, noclone)) short int
+f14 (short int i, char k, int step)
+{
+  #pragma omp parallel for simd linear (i: k + 1) schedule(static, 5)
+  for (long j = 16; j < 112; j += step)
+    {
+      a[i] = j / 2 + 8;
+      i += 4;
+    }
+  return i;
+}
+
+__attribute__((noinline, noclone)) long long int
+f15 (long long int i, long long int k, long int step)
+{
+  #pragma omp parallel for simd linear (i: k) schedule(static, 7)
+  for (short j = 16; j < 112; j += step)
+    {
+      a[i] = j / 2 + 8;
+      i += 4;
+    }
+  return i;
+}
+
+__attribute__((noinline, noclone)) int
+f16 (int i, long long int step)
+{
+  #pragma omp parallel for simd linear (i: 4) schedule(dynamic, 3)
+  for (int j = 16; j < 112; j += step)
+    {
+      a[i] = j / 2 + 8;
+      i += 4;
+    }
+  return i;
+}
+
+__attribute__((noinline, noclone)) short int
+f17 (short int i, char k, int step)
+{
+  #pragma omp parallel for simd linear (i: k + 1) schedule(dynamic, 5)
+  for (long j = 16; j < 112; j += step)
+    {
+      a[i] = j / 2 + 8;
+      i += 4;
+    }
+  return i;
+}
+
+__attribute__((noinline, noclone)) long long int
+f18 (long long int i, long long int k, long int step)
+{
+  #pragma omp parallel for simd linear (i: k) schedule(dynamic, 7)
+  for (short j = 16; j < 112; j += step)
+    {
+      a[i] = j / 2 + 8;
+      i += 4;
+    }
+  return i;
+}
+
+int
+main ()
+{
+#define TEST(x) \
+  if (x != 8 + 48 * 4)				\
+    __builtin_abort ();				\
+  for (int i = 0; i < 256; i++)			\
+    if (a[i] != (((i & 3) == 0 && i >= 8	\
+		  && i < 8 + 48 * 4)		\
+		 ? ((i - 8) / 4) + 16 : 0))	\
+      __builtin_abort ();			\
+  __builtin_memset (a, 0, sizeof (a))
+  TEST (f1 (8));
+  TEST (f2 (8, 3));
+  TEST (f3 (8LL, 4LL));
+  TEST (f4 (8));
+  TEST (f5 (8, 3));
+  TEST (f6 (8LL, 4LL));
+  TEST (f7 (8));
+  TEST (f8 (8, 3));
+  TEST (f9 (8LL, 4LL));
+  TEST (f10 (8, 2));
+  TEST (f11 (8, 3, 2));
+  TEST (f12 (8LL, 4LL, 2));
+  TEST (f13 (8, 2));
+  TEST (f14 (8, 3, 2));
+  TEST (f15 (8LL, 4LL, 2));
+  TEST (f16 (8, 2));
+  TEST (f17 (8, 3, 2));
+  TEST (f18 (8LL, 4LL, 2));
+  return 0;
+}