#include "imatrix-loader.h"
#include "common.h"
#include "log.h"
#include "gguf.h"
#include <cmath>
#include <cstring>
#include <fstream>
static bool common_imatrix_load_legacy(const std::string & fname, common_imatrix & imatrix) {
std::ifstream in(fname, std::ios::binary);
if (!in) {
LOG_ERR("%s: failed to open %s\n", __func__, fname.c_str());
return false;
}
int n_entries;
in.read((char *) &n_entries, sizeof(n_entries));
if (in.fail() || n_entries < 1) {
LOG_ERR("%s: no data in file %s\n", __func__, fname.c_str());
return false;
}
for (int i = 0; i < n_entries; ++i) {
int32_t len = 0;
in.read((char *) &len, sizeof(len));
std::vector<char> name_as_vec(len + 1);
in.read((char *) name_as_vec.data(), len);
if (in.fail()) {
LOG_ERR("%s: failed reading name for entry %d from %s\n", __func__, i + 1, fname.c_str());
return false;
}
name_as_vec[len] = 0;
std::string name{ name_as_vec.data() };
int32_t ncall = 0;
in.read((char *) &ncall, sizeof(ncall));
int32_t nval = 0;
in.read((char *) &nval, sizeof(nval));
if (in.fail() || nval < 1) {
LOG_ERR("%s: failed reading number of values for entry %d\n", __func__, i);
return false;
}
auto & e = imatrix.entries[std::move(name)];
e.sums.resize(nval);
in.read((char *) e.sums.data(), nval * sizeof(float));
if (in.fail()) {
LOG_ERR("%s: failed reading data for entry %d\n", __func__, i);
return false;
}
e.counts.resize(1);
e.counts[0] = ncall;
}
// the trailing data (chunk count + dataset name) is optional
if (in.peek() != EOF) {
int32_t n_calls = 0;
in.read((char *) &n_calls, sizeof(n_calls));
imatrix.chunk_count = n_calls;
if (!in.fail()) {
int32_t len = 0;
in.read((char *) &len, sizeof(len));
if (!in.fail() && len > 0) {
std::vector<char> dataset(len + 1, 0);
in.read(dataset.data(), len);
if (!in.fail()) {
imatrix.datasets.push_back(dataset.data());
}
}
}
}
imatrix.chunk_size = 0;
imatrix.is_legacy = true;
return true;
}
bool common_imatrix_load(const std::string & fname, common_imatrix & imatrix) {
struct ggml_context * ctx = nullptr;
struct gguf_init_params meta_gguf_params = {
/* .no_alloc = */ false,
/* .ctx = */ &ctx,
};
struct gguf_context * ctx_gguf = gguf_init_from_file(fname.c_str(), meta_gguf_params);
if (!ctx_gguf) {
return common_imatrix_load_legacy(fname, imatrix);
}
const int32_t n_entries = gguf_get_n_tensors(ctx_gguf);
if (n_entries < 1) {
LOG_ERR("%s: no data in file %s\n", __func__, fname.c_str());
gguf_free(ctx_gguf);
ggml_free(ctx);
return false;
}
const int64_t datasets_key = gguf_find_key(ctx_gguf, LLM_KV_IMATRIX_DATASETS);
const int64_t chunk_count_key = gguf_find_key(ctx_gguf, LLM_KV_IMATRIX_CHUNK_COUNT);
const int64_t chunk_size_key = gguf_find_key(ctx_gguf, LLM_KV_IMATRIX_CHUNK_SIZE);
if (datasets_key != -1 && gguf_get_kv_type(ctx_gguf, datasets_key) == GGUF_TYPE_ARRAY &&
gguf_get_arr_type(ctx_gguf, datasets_key) == GGUF_TYPE_STRING) {
const int64_t n = gguf_get_arr_n(ctx_gguf, datasets_key);
imatrix.datasets.reserve(imatrix.datasets.size() + n);
for (int64_t i = 0; i < n; ++i) {
imatrix.datasets.push_back(gguf_get_arr_str(ctx_gguf, datasets_key, i));
}
}
imatrix.has_metadata = (datasets_key != -1 && chunk_count_key != -1 && chunk_size_key != -1);
imatrix.chunk_count = (chunk_count_key != -1) ? gguf_get_val_u32(ctx_gguf, chunk_count_key) : 0;
imatrix.chunk_size = (chunk_size_key != -1) ? gguf_get_val_u32(ctx_gguf, chunk_size_key) : 0;
const std::string in_sum2_suffix{ ".in_sum2" };
const std::string counts_suffix{ ".counts" };
std::map<std::string, std::pair<struct ggml_tensor *, struct ggml_tensor *>> sums_counts_for;
for (struct ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) {
std::string name = cur->name;
if (name.empty()) { continue; }
if (string_remove_suffix(name, in_sum2_suffix)) {
sums_counts_for[std::move(name)].first = cur;
} else if (string_remove_suffix(name, counts_suffix)) {
sums_counts_for[std::move(name)].second = cur;
}
}
for (const auto & sc : sums_counts_for) {
const std::string & name = sc.first;
const struct ggml_tensor * in_sum2 = sc.second.first;
const struct ggml_tensor * counts = sc.second.second;
if (!in_sum2 || !counts) {
LOG_ERR("%s: mismatched sums and counts for %s\n", __func__, name.c_str());
gguf_free(ctx_gguf);
ggml_free(ctx);
return false;
}
if (in_sum2->type != GGML_TYPE_F32 || counts->type != GGML_TYPE_F32) {
LOG_ERR("%s: sums and counts for %s must be F32\n", __func__, name.c_str());
gguf_free(ctx_gguf);
ggml_free(ctx);
return false;
}
auto & e = imatrix.entries[name];
const int64_t nval = ggml_nelements(in_sum2);
const int64_t ncounts = ggml_nelements(counts);
e.sums.resize(nval);
for (int64_t j = 0; j < nval; ++j) {
e.sums[j] = ((const float *) in_sum2->data)[j];
}
e.counts.resize(ncounts);
for (int64_t j = 0; j < ncounts; ++j) {
e.counts[j] = std::lround(((const float *) counts->data)[j]);
}
}
gguf_free(ctx_gguf);
ggml_free(ctx);
return true;
}