+2018-01-23 Jan Hubicka <hubicka@ucw.cz>
+
+ * cfgcleanup.c (try_crossjump_to_edge): Use combine_with_count
+ to merge probabilities.
+ * predict.c (probably_never_executed): Also mark as cold functions
+ with global 0 profile and guessed local profile.
+ * profile-count.c (profile_probability::combine_with_count): New
+ member function.
+ * profile-count.h (profile_probability::operator*,
+ profile_probability::operator*=, profile_probability::operator/,
+ profile_probability::operator/=): Reduce precision to adjusted
+ and set value to guessed on contradictory divisions.
+ (profile_probability::combine_with_freq): Remove.
+ (profile_probability::combine_wiht_count): Declare.
+ (profile_count::force_nonzero):: Set to adjusted.
+ (profile_count::probability_in):: Set quality to adjusted.
+ * tree-ssa-tail-merge.c (replace_block_by): Use
+ combine_with_count.
+
2018-01-23 Andrew Waterman <andrew@sifive.com>
Jim Wilson <jimw@sifive.com>
return ret;
}
+
+/* COUNT1 times event happens with *THIS probability, COUNT2 times OTHER
+ happens with COUNT2 probablity. Return probablity that either *THIS or
+ OTHER happens. */
+
+profile_probability
+profile_probability::combine_with_count (profile_count count1,
+ profile_probability other,
+ profile_count count2) const
+{
+ /* If probabilities are same, we are done.
+ If counts are nonzero we can distribute accordingly. In remaining
+ cases just avreage the values and hope for the best. */
+ if (*this == other || count1 == count2
+ || (count2 == profile_count::zero ()
+ && !(count1 == profile_count::zero ())))
+ return *this;
+ if (count1 == profile_count::zero () && !(count2 == profile_count::zero ()))
+ return other;
+ else if (count1.nonzero_p () || count2.nonzero_p ())
+ return *this * count1.probability_in (count1 + count2)
+ + other * count2.probability_in (count1 + count2);
+ else
+ return *this * profile_probability::even ()
+ + other * profile_probability::even ();
+}
#define GCC_PROFILE_COUNT_H
struct function;
+class profile_count;
/* Quality of the profile count. Because gengtype does not support enums
inside of classes, this is in global namespace. */
return profile_probability::uninitialized ();
profile_probability ret;
ret.m_val = RDIV ((uint64_t)m_val * other.m_val, max_probability);
- ret.m_quality = MIN (m_quality, other.m_quality);
+ ret.m_quality = MIN (MIN (m_quality, other.m_quality), profile_adjusted);
return ret;
}
profile_probability &operator*= (const profile_probability &other)
else
{
m_val = RDIV ((uint64_t)m_val * other.m_val, max_probability);
- m_quality = MIN (m_quality, other.m_quality);
+ m_quality = MIN (MIN (m_quality, other.m_quality), profile_adjusted);
}
return *this;
}
if (!initialized_p () || !other.initialized_p ())
return profile_probability::uninitialized ();
profile_probability ret;
+ /* If we get probability above 1, mark it as unreliable and return 1. */
if (m_val >= other.m_val)
- ret.m_val = max_probability;
+ {
+ ret.m_val = max_probability;
+ ret.m_quality = MIN (MIN (m_quality, other.m_quality),
+ profile_guessed);
+ return ret;
+ }
else if (!m_val)
ret.m_val = 0;
else
other.m_val),
max_probability);
}
- ret.m_quality = MIN (m_quality, other.m_quality);
+ ret.m_quality = MIN (MIN (m_quality, other.m_quality), profile_adjusted);
return ret;
}
profile_probability &operator/= (const profile_probability &other)
return *this = profile_probability::uninitialized ();
else
{
+ /* If we get probability above 1, mark it as unreliable
+ and return 1. */
if (m_val > other.m_val)
- m_val = max_probability;
+ {
+ m_val = max_probability;
+ m_quality = MIN (MIN (m_quality, other.m_quality),
+ profile_guessed);
+ return *this;
+ }
else if (!m_val)
;
else
other.m_val),
max_probability);
}
- m_quality = MIN (m_quality, other.m_quality);
+ m_quality = MIN (MIN (m_quality, other.m_quality), profile_adjusted);
}
return *this;
}
return ret;
}
- profile_probability combine_with_freq (int freq1, profile_probability other,
- int freq2) const
- {
- profile_probability ret;
-
- if (*this == profile_probability::uninitialized ()
- || other == profile_probability::uninitialized ())
- return profile_probability::uninitialized ();
-
- gcc_checking_assert (freq1 >= 0 && freq2 >= 0);
- if (!freq1 && !freq2)
- {
- ret.m_val = (m_val + other.m_val) / 2;
- }
- else
- ret.m_val = RDIV (m_val * (uint64_t) freq1
- + other.m_val * (uint64_t) freq2, freq1 + freq2);
- ret.m_quality = MIN (m_quality, other.m_quality);
- return ret;
- }
-
/* Return *THIS * NUM / DEN. */
profile_probability apply_scale (int64_t num, int64_t den) const
{
bool differs_from_p (profile_probability other) const;
/* Return if difference is greater than 50%. */
bool differs_lot_from_p (profile_probability other) const;
+ /* COUNT1 times event happens with *THIS probability, COUNT2 times OTHER
+ happens with COUNT2 probablity. Return probablity that either *THIS or
+ OTHER happens. */
+ profile_probability combine_with_count (profile_count count1,
+ profile_probability other,
+ profile_count count2) const;
/* LTO streaming support. */
static profile_probability stream_in (struct lto_input_block *);
return *this;
profile_count ret = *this;
if (ret.m_val == 0)
- ret.m_val = 1;
+ {
+ ret.m_val = 1;
+ ret.m_quality = MIN (m_quality, profile_adjusted);
+ }
return ret;
}
OVERALL. */
profile_probability probability_in (const profile_count overall) const
{
- if (*this == profile_count::zero ())
+ if (*this == profile_count::zero ()
+ && !(overall == profile_count::zero ()))
return profile_probability::never ();
if (!initialized_p () || !overall.initialized_p ()
|| !overall.m_val)
return profile_probability::uninitialized ();
+ if (*this == overall && m_quality == profile_precise)
+ return profile_probability::always ();
profile_probability ret;
gcc_checking_assert (compatible_p (overall));
if (overall.m_val < m_val)
- ret.m_val = profile_probability::max_probability;
+ {
+ ret.m_val = profile_probability::max_probability;
+ ret.m_quality = profile_guessed;
+ return ret;
+ }
else
ret.m_val = RDIV (m_val * profile_probability::max_probability,
overall.m_val);
- ret.m_quality = MAX (MIN (m_quality, overall.m_quality), profile_guessed);
+ ret.m_quality = MIN (MAX (MIN (m_quality, overall.m_quality),
+ profile_guessed), profile_adjusted);
return ret;
}