mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2024-11-07 16:44:13 +01:00
248 lines
8.5 KiB
C++
248 lines
8.5 KiB
C++
#include "common-ggml.h"
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#include <regex>
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#include <map>
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static const std::map<std::string, enum ggml_ftype> GGML_FTYPE_MAP = {
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{"q4_0", GGML_FTYPE_MOSTLY_Q4_0},
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{"q4_1", GGML_FTYPE_MOSTLY_Q4_1},
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{"q5_0", GGML_FTYPE_MOSTLY_Q5_0},
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{"q5_1", GGML_FTYPE_MOSTLY_Q5_1},
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{"q8_0", GGML_FTYPE_MOSTLY_Q8_0},
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{"q2_k", GGML_FTYPE_MOSTLY_Q2_K},
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{"q3_k", GGML_FTYPE_MOSTLY_Q3_K},
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{"q4_k", GGML_FTYPE_MOSTLY_Q4_K},
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{"q5_k", GGML_FTYPE_MOSTLY_Q5_K},
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{"q6_k", GGML_FTYPE_MOSTLY_Q6_K},
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};
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void ggml_print_ftypes(FILE * fp) {
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for (auto it = GGML_FTYPE_MAP.begin(); it != GGML_FTYPE_MAP.end(); it++) {
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fprintf(fp, " type = \"%s\" or %d\n", it->first.c_str(), it->second);
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}
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}
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enum ggml_ftype ggml_parse_ftype(const char * str) {
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enum ggml_ftype ftype;
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if (str[0] == 'q') {
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const auto it = GGML_FTYPE_MAP.find(str);
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if (it == GGML_FTYPE_MAP.end()) {
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fprintf(stderr, "%s: unknown ftype '%s'\n", __func__, str);
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return GGML_FTYPE_UNKNOWN;
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}
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ftype = it->second;
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} else {
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ftype = (enum ggml_ftype) atoi(str);
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}
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return ftype;
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}
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bool ggml_common_quantize_0(
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std::ifstream & finp,
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std::ofstream & fout,
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const ggml_ftype ftype,
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const std::vector<std::string> & to_quant,
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const std::vector<std::string> & to_skip) {
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ggml_type qtype = GGML_TYPE_F32;
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switch (ftype) {
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case GGML_FTYPE_MOSTLY_Q4_0: qtype = GGML_TYPE_Q4_0; break;
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case GGML_FTYPE_MOSTLY_Q4_1: qtype = GGML_TYPE_Q4_1; break;
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case GGML_FTYPE_MOSTLY_Q5_0: qtype = GGML_TYPE_Q5_0; break;
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case GGML_FTYPE_MOSTLY_Q5_1: qtype = GGML_TYPE_Q5_1; break;
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case GGML_FTYPE_MOSTLY_Q8_0: qtype = GGML_TYPE_Q8_0; break;
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case GGML_FTYPE_MOSTLY_Q2_K: qtype = GGML_TYPE_Q2_K; break;
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case GGML_FTYPE_MOSTLY_Q3_K: qtype = GGML_TYPE_Q3_K; break;
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case GGML_FTYPE_MOSTLY_Q4_K: qtype = GGML_TYPE_Q4_K; break;
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case GGML_FTYPE_MOSTLY_Q5_K: qtype = GGML_TYPE_Q5_K; break;
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case GGML_FTYPE_MOSTLY_Q6_K: qtype = GGML_TYPE_Q6_K; break;
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case GGML_FTYPE_UNKNOWN:
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case GGML_FTYPE_ALL_F32:
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case GGML_FTYPE_MOSTLY_F16:
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case GGML_FTYPE_MOSTLY_Q4_1_SOME_F16:
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case GGML_FTYPE_MOSTLY_IQ2_XXS:
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case GGML_FTYPE_MOSTLY_IQ2_XS:
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case GGML_FTYPE_MOSTLY_IQ3_XXS:
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case GGML_FTYPE_MOSTLY_IQ1_S:
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{
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fprintf(stderr, "%s: invalid model type %d\n", __func__, ftype);
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return false;
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}
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};
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if (!ggml_is_quantized(qtype)) {
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fprintf(stderr, "%s: invalid quantization type %d (%s)\n", __func__, qtype, ggml_type_name(qtype));
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return false;
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}
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size_t total_size_org = 0;
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size_t total_size_new = 0;
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std::vector<float> work;
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std::vector<uint8_t> data_u8;
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std::vector<ggml_fp16_t> data_f16;
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std::vector<float> data_f32;
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std::vector<int64_t> hist_all(1 << 4, 0);
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while (true) {
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int32_t n_dims;
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int32_t length;
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int32_t ttype;
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finp.read(reinterpret_cast<char *>(&n_dims), sizeof(n_dims));
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finp.read(reinterpret_cast<char *>(&length), sizeof(length));
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finp.read(reinterpret_cast<char *>(&ttype), sizeof(ttype));
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if (finp.eof()) {
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break;
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}
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int32_t nelements = 1;
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int32_t ne[4] = { 1, 1, 1, 1 };
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for (int i = 0; i < n_dims; ++i) {
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finp.read (reinterpret_cast<char *>(&ne[i]), sizeof(ne[i]));
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nelements *= ne[i];
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}
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std::string name(length, 0);
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finp.read (&name[0], length);
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printf("%64s - [%5d, %5d, %5d], type = %6s ", name.data(), ne[0], ne[1], ne[2], ggml_type_name((ggml_type) ttype));
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bool quantize = false;
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// check if we should quantize this tensor
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for (const auto & s : to_quant) {
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if (std::regex_match(name, std::regex(s))) {
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quantize = true;
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break;
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}
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}
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// check if we should skip this tensor
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for (const auto & s : to_skip) {
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if (std::regex_match(name, std::regex(s))) {
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quantize = false;
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break;
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}
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}
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// quantize only 2D tensors
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quantize &= (n_dims == 2);
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if (quantize) {
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if (ttype != GGML_TYPE_F32 && ttype != GGML_TYPE_F16) {
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fprintf(stderr, "%s: unsupported ttype %d (%s) for integer quantization\n", __func__, ttype, ggml_type_name((ggml_type) ttype));
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return false;
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}
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if (ttype == GGML_TYPE_F16) {
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data_f16.resize(nelements);
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finp.read(reinterpret_cast<char *>(data_f16.data()), nelements * sizeof(ggml_fp16_t));
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data_f32.resize(nelements);
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for (int i = 0; i < nelements; ++i) {
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data_f32[i] = ggml_fp16_to_fp32(data_f16[i]);
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}
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} else {
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data_f32.resize(nelements);
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finp.read(reinterpret_cast<char *>(data_f32.data()), nelements * sizeof(float));
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}
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ttype = qtype;
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} else {
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const int bpe = (ttype == 0) ? sizeof(float) : sizeof(uint16_t);
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data_u8.resize(nelements*bpe);
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finp.read(reinterpret_cast<char *>(data_u8.data()), nelements * bpe);
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}
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fout.write(reinterpret_cast<char *>(&n_dims), sizeof(n_dims));
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fout.write(reinterpret_cast<char *>(&length), sizeof(length));
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fout.write(reinterpret_cast<char *>(&ttype), sizeof(ttype));
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for (int i = 0; i < n_dims; ++i) {
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fout.write(reinterpret_cast<char *>(&ne[i]), sizeof(ne[i]));
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}
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fout.write(&name[0], length);
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if (quantize) {
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work.resize(nelements); // for quantization
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size_t cur_size = 0;
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std::vector<int64_t> hist_cur(1 << 4, 0);
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switch ((ggml_type) ttype) {
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case GGML_TYPE_Q4_0:
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case GGML_TYPE_Q4_1:
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case GGML_TYPE_Q5_0:
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case GGML_TYPE_Q5_1:
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case GGML_TYPE_Q8_0:
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case GGML_TYPE_Q2_K:
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case GGML_TYPE_Q3_K:
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case GGML_TYPE_Q4_K:
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case GGML_TYPE_Q5_K:
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case GGML_TYPE_Q6_K:
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{
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cur_size = ggml_quantize_chunk((ggml_type) ttype, data_f32.data(), work.data(), 0, nelements/ne[0], ne[0], hist_cur.data(), nullptr);
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} break;
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case GGML_TYPE_F32:
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case GGML_TYPE_F16:
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case GGML_TYPE_I8:
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case GGML_TYPE_I16:
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case GGML_TYPE_I32:
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case GGML_TYPE_Q8_1:
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case GGML_TYPE_Q8_K:
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case GGML_TYPE_IQ2_XXS:
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case GGML_TYPE_IQ2_XS:
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case GGML_TYPE_IQ3_XXS:
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case GGML_TYPE_IQ1_S:
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case GGML_TYPE_COUNT:
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{
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fprintf(stderr, "%s: unsupported quantization type %d (%s)\n", __func__, ttype, ggml_type_name((ggml_type) ttype));
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return false;
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}
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}
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fout.write(reinterpret_cast<char *>(work.data()), cur_size);
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total_size_new += cur_size;
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printf("size = %8.2f MB -> %8.2f MB | hist: ", nelements * sizeof(float)/1024.0/1024.0, cur_size/1024.0/1024.0);
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for (int i = 0; i < (int) hist_cur.size(); ++i) {
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hist_all[i] += hist_cur[i];
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}
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for (int i = 0; i < (int) hist_cur.size(); ++i) {
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printf("%5.3f ", hist_cur[i] / (float)nelements);
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}
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printf("\n");
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} else {
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printf("size = %8.3f MB\n", data_u8.size()/1024.0/1024.0);
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fout.write(reinterpret_cast<char *>(data_u8.data()), data_u8.size());
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total_size_new += data_u8.size();
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}
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total_size_org += nelements * sizeof(float);
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}
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printf("%s: model size = %8.2f MB\n", __func__, total_size_org/1024.0/1024.0);
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printf("%s: quant size = %8.2f MB | ftype = %d (%s)\n", __func__, total_size_new/1024.0/1024.0, ftype, ggml_type_name(qtype));
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{
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int64_t sum_all = 0;
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for (int i = 0; i < (int) hist_all.size(); ++i) {
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sum_all += hist_all[i];
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}
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printf("%s: hist: ", __func__);
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for (int i = 0; i < (int) hist_all.size(); ++i) {
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printf("%5.3f ", hist_all[i] / (float)sum_all);
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}
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printf("\n");
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}
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return true;
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}
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