Fix profile update after vectorize loop versioning

Vectorizer while loop versioning produces a versioned loop
guarded with two conditionals of the form

  if (cond1)
    goto scalar_loop
  else
    goto next_bb
next_bb:
  if (cond2)
    godo scalar_loop
  else
    goto vector_loop

It wants the combined test to be prob (whch is set to likely)
and uses profile_probability::split to determine probability
of cond1 and cond2.

However spliting  is turning:

     if (cond)
       goto lab; // ORIG probability
 into
     if (cond1)
       goto lab; // FIRST = ORIG * CPROB probability
     if (cond2)
       goto lab; // SECOND probability

Which is or instead of and.  As a result we get pretty low probabiility
of entering vectorized loop.

The fixes this by introducing sqrt to profile probability (which is correct
way to split this) and also adding pow that is needed elsewhere.

While loop versioning I now produce code as if there was only one combined
conditional and then update probability of conditional produced (containig
cond1).  Later edge is split and new conditional is added. At that time
it is necessary to update probability of the BB containing second conditional
so everything matches.

gcc/ChangeLog:

	* profile-count.cc (profile_probability::sqrt): New member function.
	(profile_probability::pow): Likewise.
	* profile-count.h: (profile_probability::sqrt): Declare
	(profile_probability::pow): Likewise.
	* tree-vect-loop-manip.cc (vect_loop_versioning): Fix profile update.
This commit is contained in:
Jan Hubicka 2023-07-29 08:18:18 +02:00
parent e0f91730aa
commit 7ed98195f3
3 changed files with 75 additions and 3 deletions

View file

@ -471,3 +471,60 @@ profile_probability::to_sreal () const
gcc_checking_assert (initialized_p ());
return ((sreal)m_val) >> (n_bits - 2);
}
/* Compute square root. */
profile_probability
profile_probability::sqrt () const
{
if (!initialized_p () || *this == never () || *this == always ())
return *this;
profile_probability ret = *this;
ret.m_quality = MIN (ret.m_quality, ADJUSTED);
uint32_t min_range = m_val;
uint32_t max_range = max_probability;
if (!m_val)
max_range = 0;
if (m_val == max_probability)
min_range = max_probability;
while (min_range != max_range)
{
uint32_t val = (min_range + max_range) / 2;
uint32_t val2 = RDIV ((uint64_t)val * val, max_probability);
if (val2 == m_val)
min_range = max_range = m_val;
else if (val2 > m_val)
max_range = val - 1;
else if (val2 < m_val)
min_range = val + 1;
}
ret.m_val = min_range;
return ret;
}
/* Compute n-th power of THIS. */
profile_probability
profile_probability::pow (int n) const
{
if (n == 1 || !initialized_p ())
return *this;
if (!n)
return profile_probability::always ();
if (!nonzero_p ()
|| !(profile_probability::always () - *this).nonzero_p ())
return *this;
profile_probability ret = profile_probability::always ();
profile_probability v = *this;
int p = 1;
while (true)
{
if (n & p)
ret = ret * v;
p <<= 1;
if (p > n)
break;
v = v * v;
}
return ret;
}

View file

@ -650,6 +650,12 @@ public:
return *this;
}
/* Compute n-th power. */
profile_probability pow (int) const;
/* Compute sware root. */
profile_probability sqrt () const;
/* Get the value of the count. */
uint32_t value () const { return m_val; }

View file

@ -3784,7 +3784,7 @@ vect_loop_versioning (loop_vec_info loop_vinfo,
}
tree cost_name = NULL_TREE;
profile_probability prob2 = profile_probability::uninitialized ();
profile_probability prob2 = profile_probability::always ();
if (cond_expr
&& EXPR_P (cond_expr)
&& (version_niter
@ -3797,7 +3797,7 @@ vect_loop_versioning (loop_vec_info loop_vinfo,
is_gimple_val, NULL_TREE);
/* Split prob () into two so that the overall probability of passing
both the cost-model and versioning checks is the orig prob. */
prob2 = prob.split (prob);
prob2 = prob = prob.sqrt ();
}
if (version_niter)
@ -3941,7 +3941,15 @@ vect_loop_versioning (loop_vec_info loop_vinfo,
initialize_original_copy_tables ();
nloop = loop_version (loop_to_version, cond_expr, &condition_bb,
prob, prob.invert (), prob, prob.invert (), true);
prob * prob2, (prob * prob2).invert (),
prob * prob2, (prob * prob2).invert (),
true);
/* We will later insert second conditional so overall outcome of
both is prob * prob2. */
edge true_e, false_e;
extract_true_false_edges_from_block (condition_bb, &true_e, &false_e);
true_e->probability = prob;
false_e->probability = prob.invert ();
gcc_assert (nloop);
nloop = get_loop_copy (loop);
@ -4037,6 +4045,7 @@ vect_loop_versioning (loop_vec_info loop_vinfo,
edge e2 = make_edge (e->src, false_e->dest, EDGE_FALSE_VALUE);
e->probability = prob2;
e2->probability = prob2.invert ();
e->dest->count = e->count ();
set_immediate_dominator (CDI_DOMINATORS, false_e->dest, e->src);
auto_vec<basic_block, 3> adj;
for (basic_block son = first_dom_son (CDI_DOMINATORS, e->dest);