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https://github.com/ggerganov/llama.cpp.git
synced 2024-11-11 21:39:52 +00:00
imatrix : allow loading mis-ordered tensors
Sums and counts tensors no longer need to be consecutive. * imatrix : more sanity checks when loading multiple imatrix files * imatrix : use ggml_format_name instead of std::string concatenation Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
This commit is contained in:
parent
2217247051
commit
8c13e16bb0
@ -9,6 +9,7 @@
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#include <mutex>
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#include <mutex>
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#include <vector>
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#include <vector>
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#include <unordered_map>
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#include <unordered_map>
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#include <map>
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#include <algorithm>
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#include <algorithm>
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#if defined(_MSC_VER)
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#if defined(_MSC_VER)
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@ -24,6 +25,14 @@ static void print_usage(int, char ** argv) {
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LOG_TEE("\n");
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LOG_TEE("\n");
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}
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}
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static bool str_remove_suffix(std::string & str, const std::string & suffix) {
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bool has_suffix = str.size() >= suffix.size() && str.compare(str.size() - suffix.size(), str.size(), suffix) == 0;
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if (has_suffix) {
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str = str.substr(0, str.size() - suffix.size());
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}
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return has_suffix;
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}
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static const char * const LLM_KV_IMATRIX_DATASET = "imatrix.dataset";
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static const char * const LLM_KV_IMATRIX_DATASET = "imatrix.dataset";
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static const char * const LLM_KV_IMATRIX_CHUNK_COUNT = "imatrix.chunk_count";
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static const char * const LLM_KV_IMATRIX_CHUNK_COUNT = "imatrix.chunk_count";
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static const char * const LLM_KV_IMATRIX_CHUNK_SIZE = "imatrix.chunk_size";
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static const char * const LLM_KV_IMATRIX_CHUNK_SIZE = "imatrix.chunk_size";
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@ -302,8 +311,8 @@ void IMatrixCollector::save_imatrix(int32_t n_chunk) const {
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if (nval > 0) {
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if (nval > 0) {
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struct ggml_tensor * sums = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, nval / nmat, nmat);
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struct ggml_tensor * sums = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, nval / nmat, nmat);
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struct ggml_tensor * counts = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, 1, nmat);
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struct ggml_tensor * counts = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, 1, nmat);
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ggml_set_name(sums, (name + ".sums").c_str());
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ggml_format_name(sums, "%s.sums", name.c_str());
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ggml_set_name(counts, (name + ".counts").c_str());
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ggml_format_name(counts, "%s.counts", name.c_str());
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for (int32_t j = 0; j < nval; ++j) {
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for (int32_t j = 0; j < nval; ++j) {
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((float *) sums->data)[j] = (float) stat.values[j];
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((float *) sums->data)[j] = (float) stat.values[j];
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@ -338,7 +347,7 @@ bool IMatrixCollector::load_imatrix(const char * file_name) {
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return false;
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return false;
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}
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}
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const int32_t n_entries = gguf_get_n_tensors(ctx_gguf);
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const int32_t n_entries = gguf_get_n_tensors(ctx_gguf);
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if (n_entries < 2) {
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if (n_entries < 1) {
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fprintf(stderr, "%s: no data in file %s\n", __func__, file_name);
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fprintf(stderr, "%s: no data in file %s\n", __func__, file_name);
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gguf_free(ctx_gguf);
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gguf_free(ctx_gguf);
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ggml_free(ctx);
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ggml_free(ctx);
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@ -348,51 +357,73 @@ bool IMatrixCollector::load_imatrix(const char * file_name) {
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const std::string sums_suffix{".sums"};
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const std::string sums_suffix{".sums"};
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const std::string counts_suffix{".counts"};
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const std::string counts_suffix{".counts"};
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// TODO: allow loading from mis-ordered imatrix files
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// Could re-use m_stats instead, but this allows
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for (int32_t i = 0; i < n_entries - 1; i += 2) {
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// checking for completeness of *each* loaded imatrix file
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std::string sums_name{gguf_get_tensor_name(ctx_gguf, i + 0)};
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// and also makes it easier to re-use a similar implementation in quantize.cpp
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std::string counts_name{gguf_get_tensor_name(ctx_gguf, i + 1)};
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// Using an ordered map to get a deterministic iteration order.
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std::map<std::string, std::pair<struct ggml_tensor *, struct ggml_tensor *>> sums_counts_for;
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if (sums_name.size() < sums_suffix.size() ||
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for (struct ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) {
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counts_name.size() < counts_suffix.size() ||
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std::string name = cur->name;
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!std::equal(sums_name.begin(), sums_name.end() - sums_suffix.size(), counts_name.begin()) ||
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!std::equal(sums_suffix.rbegin(), sums_suffix.rend(), sums_name.rbegin()) ||
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if (name.empty()) { continue; }
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!std::equal(counts_suffix.rbegin(), counts_suffix.rend(), counts_name.rbegin())) {
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fprintf(stderr, "%s: mismatched sums and counts for entry %d\n", __func__, i / 2);
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if (str_remove_suffix(name, sums_suffix)) {
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// sums
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sums_counts_for[name].first = cur;
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} else if (str_remove_suffix(name, counts_suffix)) {
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// counts
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sums_counts_for[name].second = cur;
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} else {
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fprintf(stderr, "%s: invalid imatrix tensor name: %s\n", __func__, name.c_str());
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gguf_free(ctx_gguf);
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gguf_free(ctx_gguf);
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ggml_free(ctx);
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ggml_free(ctx);
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return false;
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return false;
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}
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}
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}
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for (const auto & sc : sums_counts_for) {
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const std::string & name = sc.first;
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const struct ggml_tensor * sums = sc.second.first;
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const struct ggml_tensor * counts = sc.second.second;
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struct ggml_tensor * sums = ggml_get_tensor(ctx, sums_name.c_str());
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struct ggml_tensor * counts = ggml_get_tensor(ctx, counts_name.c_str());
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if (!sums || !counts) {
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if (!sums || !counts) {
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fprintf(stderr, "%s: failed reading data for entry %d\n", __func__, i / 2);
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fprintf(stderr, "%s: mismatched sums and counts for %s\n", __func__, name.c_str());
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gguf_free(ctx_gguf);
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gguf_free(ctx_gguf);
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ggml_free(ctx);
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ggml_free(ctx);
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return false;
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return false;
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}
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}
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std::string name = sums_name.substr(0, sums_name.size() - sums_suffix.size());
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auto & e = m_stats[name];
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auto & e = m_stats[name];
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int32_t nval = ggml_nelements(sums);
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int64_t nval = ggml_nelements(sums);
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if (e.values.empty()) {
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if (e.values.empty()) {
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e.values.resize(nval, 0);
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e.values.resize(nval, 0);
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} else if ((size_t) nval != e.values.size()) {
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fprintf(stderr, "%s: mismatched sums size for %s: %zu != %zu\n", __func__, name.c_str(), (size_t) nval, e.values.size());
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gguf_free(ctx_gguf);
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ggml_free(ctx);
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return false;
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}
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}
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int32_t ncounts = ggml_nelements(counts);
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int64_t ncounts = ggml_nelements(counts);
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if (e.counts.empty()) {
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if (e.counts.empty()) {
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e.counts.resize(ncounts, 0);
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e.counts.resize(ncounts, 0);
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} else if (e.counts.size() == 1 && ncounts > 1) {
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} else if (e.counts.size() == 1 && ncounts > 1) {
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// broadcast, when loading an old imatrix
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// broadcast, when loading an old imatrix
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e.counts.resize(ncounts, e.counts[0]);
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e.counts.resize(ncounts, e.counts[0]);
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} else if ((size_t) ncounts != e.counts.size()) {
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fprintf(stderr, "%s: mismatched counts size for %s: %zu != %zu\n", __func__, name.c_str(), (size_t) ncounts, e.counts.size());
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gguf_free(ctx_gguf);
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ggml_free(ctx);
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return false;
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}
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}
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// Recreate the state as expected by save_imatrix()
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// Recreate the state as expected by save_imatrix()
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for (int32_t j = 0; j < nval; j++) {
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for (int64_t j = 0; j < nval; j++) {
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e.values[j] += ((const float *) sums->data)[j];
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e.values[j] += ((const float *) sums->data)[j];
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}
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}
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for (int32_t j = 0; j < ncounts; j++) {
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for (int64_t j = 0; j < ncounts; j++) {
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e.counts[j] += std::lround(((const float *) counts->data)[j]);
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e.counts[j] += std::lround(((const float *) counts->data)[j]);
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}
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}
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}
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}
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@ -6,6 +6,7 @@
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#include <vector>
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#include <vector>
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#include <string>
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#include <string>
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#include <unordered_map>
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#include <unordered_map>
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#include <map>
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struct quant_option {
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struct quant_option {
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std::string name;
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std::string name;
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@ -125,6 +126,15 @@ static void usage(const char * executable) {
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exit(1);
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exit(1);
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}
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}
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// TODO: share with implementation in imatrix.cpp
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static bool str_remove_suffix(std::string & str, const std::string & suffix) {
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bool has_suffix = str.size() >= suffix.size() && str.compare(str.size() - suffix.size(), str.size(), suffix) == 0;
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if (has_suffix) {
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str = str.substr(0, str.size() - suffix.size());
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}
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return has_suffix;
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}
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static int load_imatrix(const std::string & imatrix_file, std::string & imatrix_dataset, std::unordered_map<std::string, std::vector<float>> & imatrix_data) {
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static int load_imatrix(const std::string & imatrix_file, std::string & imatrix_dataset, std::unordered_map<std::string, std::vector<float>> & imatrix_data) {
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struct ggml_context * ctx = nullptr;
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struct ggml_context * ctx = nullptr;
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@ -138,7 +148,7 @@ static int load_imatrix(const std::string & imatrix_file, std::string & imatrix_
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exit(1);
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exit(1);
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}
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}
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const int32_t n_entries = gguf_get_n_tensors(ctx_gguf);
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const int32_t n_entries = gguf_get_n_tensors(ctx_gguf);
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if (n_entries < 2) {
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if (n_entries < 1) {
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fprintf(stderr, "%s: no data in file %s\n", __func__, imatrix_file.c_str());
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fprintf(stderr, "%s: no data in file %s\n", __func__, imatrix_file.c_str());
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gguf_free(ctx_gguf);
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gguf_free(ctx_gguf);
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ggml_free(ctx);
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ggml_free(ctx);
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@ -160,26 +170,35 @@ static int load_imatrix(const std::string & imatrix_file, std::string & imatrix_
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const std::string sums_suffix{".sums"};
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const std::string sums_suffix{".sums"};
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const std::string counts_suffix{".counts"};
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const std::string counts_suffix{".counts"};
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// TODO: allow loading from mis-ordered imatrix files
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// Using an ordered map to get a deterministic iteration order.
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for (int32_t i = 0; i < n_entries - 1; i += 2) {
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std::map<std::string, std::pair<struct ggml_tensor *, struct ggml_tensor *>> sums_counts_for;
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std::string sums_name{gguf_get_tensor_name(ctx_gguf, i + 0)};
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std::string counts_name{gguf_get_tensor_name(ctx_gguf, i + 1)};
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if (sums_name.size() < sums_suffix.size() ||
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for (struct ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) {
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counts_name.size() < counts_suffix.size() ||
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std::string name = cur->name;
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!std::equal(sums_name.begin(), sums_name.end() - sums_suffix.size(), counts_name.begin()) ||
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!std::equal(sums_suffix.rbegin(), sums_suffix.rend(), sums_name.rbegin()) ||
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if (name.empty()) { continue; }
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!std::equal(counts_suffix.rbegin(), counts_suffix.rend(), counts_name.rbegin())) {
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fprintf(stderr, "%s: mismatched sums and counts for entry %d\n", __func__, i / 2);
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if (str_remove_suffix(name, sums_suffix)) {
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// sums
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sums_counts_for[name].first = cur;
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} else if (str_remove_suffix(name, counts_suffix)) {
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// counts
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sums_counts_for[name].second = cur;
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} else {
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fprintf(stderr, "%s: invalid imatrix tensor name: %s\n", __func__, name.c_str());
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gguf_free(ctx_gguf);
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gguf_free(ctx_gguf);
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ggml_free(ctx);
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ggml_free(ctx);
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exit(1);
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exit(1);
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}
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}
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}
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for (const auto & sc : sums_counts_for) {
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const std::string & name = sc.first;
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const struct ggml_tensor * sums = sc.second.first;
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const struct ggml_tensor * counts = sc.second.second;
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struct ggml_tensor * sums = ggml_get_tensor(ctx, sums_name.c_str());
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struct ggml_tensor * counts = ggml_get_tensor(ctx, counts_name.c_str());
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if (!sums || !counts) {
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if (!sums || !counts) {
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fprintf(stderr, "%s: failed reading data for entry %d\n", __func__, i / 2);
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fprintf(stderr, "%s: mismatched sums and counts for %s\n", __func__, name.c_str());
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gguf_free(ctx_gguf);
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gguf_free(ctx_gguf);
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ggml_free(ctx);
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ggml_free(ctx);
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exit(1);
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exit(1);
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@ -187,7 +206,7 @@ static int load_imatrix(const std::string & imatrix_file, std::string & imatrix_
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const int64_t ne0 = sums->ne[0];
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const int64_t ne0 = sums->ne[0];
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const int64_t ne1 = sums->ne[1];
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const int64_t ne1 = sums->ne[1];
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std::string name = sums_name.substr(0, sums_name.size() - sums_suffix.size());
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auto & e = imatrix_data[name];
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auto & e = imatrix_data[name];
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e.resize(ggml_nelements(sums));
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e.resize(ggml_nelements(sums));
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float max_count = 0.0f;
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float max_count = 0.0f;
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@ -201,7 +220,7 @@ static int load_imatrix(const std::string & imatrix_file, std::string & imatrix_
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}
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}
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}
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}
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if (getenv("LLAMA_TRACE")) {
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if (getenv("LLAMA_TRACE")) {
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printf("%s: loaded data (size = %6d, ncall = %6d) for '%s'\n", __func__, int(e.size()), int(max_count / chunk_size), name.c_str());
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printf("%s: loaded data (size = %6d, n_tokens = %6d) for '%s'\n", __func__, int(e.size()), int(max_count), name.c_str());
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}
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}
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}
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}
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