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llama.cpp
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Update table layout

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Ed Addario 2025-08-03 10:28:47 +01:00
parent 4d1325e1eb
commit 5324558132
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1 changed files with 13 additions and 7 deletions
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20
tools/imatrix/imatrix.cpp
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@ -1231,8 +1231,7 @@ static bool show_statistics(const common_params & params) {
"Entropy",
"E (norm)",
"ZD",
"CosSim"
);
"CosSim");
LOG_INF(
"=============================================================================================================="
"=============================================================\n");
@ -1259,8 +1258,7 @@ static bool show_statistics(const common_params & params) {
tstat.entropy,
100.0f * (tstat.entropy / std::log2(tstat.elements)),
100.0f * tstat.zd_score,
tstat.cossim
);
tstat.cossim);
const float w_sum = tstat.elements * tstat.sum_values;
const float w_zd = tstat.elements * tstat.zd_score;
@ -1283,8 +1281,12 @@ static bool show_statistics(const common_params & params) {
const int layers = std::count_if(ws.begin(), ws.end(), [](const auto & kv) { return kv.first >= 0; });
LOG_INF("\nComputing weighted average statistics per layer (%d layers)\n", layers);
LOG_INF("\n%s\t%s\t%s\t%s\n", " Layer", " μΣ(Act²)", " μZD", "μCosSim");
LOG_INF("================================================\n");
LOG_INF("\n%6s\t%16s\t%7s\t%11s\n",
"Layer",
tensor_calc_mode == 1 ? "μL₂ Norm" : "μΣ(Act²)",
"μZD",
"μCosSim");
LOG_INF("============================================\n");
for (const auto & [first, second] : ws) {
const auto & layer = first;
const auto & stats = second;
@ -1298,7 +1300,11 @@ static bool show_statistics(const common_params & params) {
const float w_zd = stats.w_zd / stats.n;
const float w_cossim = stats.w_cossim / stats.n;
LOG_INF("%5d\t%14.2f\t%10.4f%%\t%6.4f\n", layer, bias, 100.0f * zd, cossim);
LOG_INF("%5d\t%11.2f\t%6.2f%%\t%10.4f\n",
layer,
w_sum,
100.0f * w_zd,
w_cossim);
}
}
LOG_INF("\n");