[gcc(refs/users/marxin/heads/marxin-gcc-benchmark-branch)] Extern -param=max-predicted-iterations range.

[Martin Liska]

https://gcc.gnu.org/g:b6a0ebd1920300db383cd9e213c3bc2afb76e52d

commit b6a0ebd1920300db383cd9e213c3bc2afb76e52d
Author: Jan Hubicka <jh@suse.cz>
Date:   Fri Jan 17 00:50:22 2020 +0100

    Extern -param=max-predicted-iterations range.
    
            * params.opt (-param=max-predicted-iterations): Increase range from 0.
            * predict.c (estimate_loops): Add 1 to param_max_predicted_iterations.

Diff:
---
 gcc/ChangeLog  | 5 +++++
 gcc/params.opt | 2 +-
 gcc/predict.c  | 3 ++-
 3 files changed, 8 insertions(+), 2 deletions(-)

diff --git a/gcc/ChangeLog b/gcc/ChangeLog
index 907d0f751ab..febcd6fb31f 100644
--- a/gcc/ChangeLog
+++ b/gcc/ChangeLog
@@ -1,3 +1,8 @@
+2020-01-16  Jan Hubicka  <hubicka@ucw.cz>
+
+	* params.opt (-param=max-predicted-iterations): Increase range from 0.
+	* predict.c (estimate_loops): Add 1 to param_max_predicted_iterations.
+
 2020-01-16  Jan Hubicka  <hubicka@ucw.cz>
 
 	* ipa-fnsummary.c (estimate_calls_size_and_time): Fix formating of
diff --git a/gcc/params.opt b/gcc/params.opt
index f02c769d0e3..8e4217dbb84 100644
--- a/gcc/params.opt
+++ b/gcc/params.opt
@@ -555,7 +555,7 @@ Common Joined UInteger Var(param_max_pow_sqrt_depth) Init(5) IntegerRange(1, 32)
 Maximum depth of sqrt chains to use when synthesizing exponentiation by a real constant.
 
 -param=max-predicted-iterations=
-Common Joined UInteger Var(param_max_predicted_iterations) Init(100) IntegerRange(1, 65536) Param Optimization
+Common Joined UInteger Var(param_max_predicted_iterations) Init(100) IntegerRange(0, 65536) Param Optimization
 The maximum number of loop iterations we predict statically.
 
 -param=max-reload-search-insns=
diff --git a/gcc/predict.c b/gcc/predict.c
index c3aed9ed854..1b000581c8f 100644
--- a/gcc/predict.c
+++ b/gcc/predict.c
@@ -3427,7 +3427,8 @@ estimate_loops (void)
 {
   auto_bitmap tovisit;
   basic_block bb;
-  sreal max_cyclic_prob = (sreal)1 - (sreal)1 / param_max_predicted_iterations;
+  sreal max_cyclic_prob = (sreal)1
+			   - (sreal)1 / (param_max_predicted_iterations + 1);
 
   /* Start by estimating the frequencies in the loops.  */
   if (number_of_loops (cfun) > 1)