RPCS3/rpcs3
1
0
Fork 0
mirror of https://github.com/RPCS3/rpcs3.git synced 2024-11-25 20:22:30 +01:00
Code Issues Releases Wiki Activity

perfoverlay: fix minimal graph min/max calculation

Browse Source
This commit is contained in:
Megamouse 2023-01-26 22:45:13 +01:00
parent f6759de1e9
commit e0baad417a
1 changed files with 29 additions and 34 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

63
rpcs3/Emu/RSX/Overlays/overlay_perf_metrics.cpp
View File

@ -746,52 +746,47 @@ namespace rsx
return;
}
m_min = max_v<f32>;
m_max = 0.0f;
m_avg = 0.0f;
m_1p = 0.0f;
if (m_show_min_max || m_show_1p_avg)
std::vector<f32> valid_datapoints;
// Make sure min/max reflects the data being displayed, not the entire datapoints vector
for (usz i = m_datapoints.size() - m_datapoint_count; i < m_datapoints.size(); i++)
{
m_min = max_v<f32>;
const f32& dp = m_datapoints[i];
std::vector<f32> valid_datapoints;
if (dp < 0) continue; // Skip initial negative values. They don't count.
// Make sure min/max reflects the data being displayed, not the entire datapoints vector
for (usz i = m_datapoints.size() - m_datapoint_count; i < m_datapoints.size(); i++)
m_min = std::min(m_min, dp);
m_max = std::max(m_max, dp);
m_avg += dp;
if (m_show_1p_avg)
{
const f32& dp = m_datapoints[i];
if (dp < 0) continue; // Skip initial negative values. They don't count.
m_min = std::min(m_min, dp);
m_max = std::max(m_max, dp);
m_avg += dp;
valid_datapoints.push_back(dp);
}
// Sanitize min value
m_min = std::min(m_min, m_max);
if (m_show_1p_avg && !valid_datapoints.empty())
{
// Sort datapoints (we are only interested in the lowest/highest 1%)
const usz i_1p = valid_datapoints.size() / 100;
const usz n_1p = i_1p + 1;
if (m_1p_sort_high)
std::nth_element(valid_datapoints.begin(), valid_datapoints.begin() + i_1p, valid_datapoints.end(), std::greater<f32>());
else
std::nth_element(valid_datapoints.begin(), valid_datapoints.begin() + i_1p, valid_datapoints.end());
// Calculate statistics
m_avg /= valid_datapoints.size();
m_1p = std::accumulate(valid_datapoints.begin(), valid_datapoints.begin() + n_1p, 0.0f) / static_cast<float>(n_1p);
}
}
else
// Sanitize min value
m_min = std::min(m_min, m_max);
if (m_show_1p_avg && !valid_datapoints.empty())
{
m_min = 0.0f;
// Sort datapoints (we are only interested in the lowest/highest 1%)
const usz i_1p = valid_datapoints.size() / 100;
const usz n_1p = i_1p + 1;
if (m_1p_sort_high)
std::nth_element(valid_datapoints.begin(), valid_datapoints.begin() + i_1p, valid_datapoints.end(), std::greater<f32>());
else
std::nth_element(valid_datapoints.begin(), valid_datapoints.begin() + i_1p, valid_datapoints.end());
// Calculate statistics
m_avg /= valid_datapoints.size();
m_1p = std::accumulate(valid_datapoints.begin(), valid_datapoints.begin() + n_1p, 0.0f) / static_cast<float>(n_1p);
}
}