mirror of
https://github.com/ggerganov/whisper.cpp.git
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e30c679928
* scripts : update sync [no ci] * files : reorganize [no ci] * sync : llama.cpp * cmake : link math library * cmake : build normal ggml library * files : move headers to include * objc : fix path to ggml-metal.h * ci : fix WHISPER_CUDA -> GGML_CUDA * scripts : sync LICENSE [no ci]
224 lines
8.0 KiB
C++
224 lines
8.0 KiB
C++
#include "ggml.h"
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#include "common.h"
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#include "common-ggml.h"
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#include <cassert>
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#include <cmath>
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#include <cstdio>
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#include <cstring>
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#include <fstream>
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#include <map>
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#include <string>
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#include <vector>
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#include <regex>
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// default hparams (Whisper tiny)
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struct whisper_hparams {
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int32_t n_vocab = 51864;
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int32_t n_audio_ctx = 1500;
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int32_t n_audio_state = 384;
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int32_t n_audio_head = 6;
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int32_t n_audio_layer = 4;
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int32_t n_text_ctx = 448;
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int32_t n_text_state = 384;
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int32_t n_text_head = 6;
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int32_t n_text_layer = 4;
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int32_t n_mels = 80;
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int32_t ftype = 1;
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};
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struct whisper_filters {
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int32_t n_mel;
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int32_t n_fft;
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std::vector<float> data;
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};
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// quantize a model
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static bool whisper_model_quantize(const std::string & fname_inp, const std::string & fname_out, ggml_ftype ftype) {
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gpt_vocab vocab;
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printf("%s: loading model from '%s'\n", __func__, fname_inp.c_str());
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auto finp = std::ifstream(fname_inp, std::ios::binary);
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if (!finp) {
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fprintf(stderr, "%s: failed to open '%s' for reading\n", __func__, fname_inp.c_str());
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return false;
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}
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auto fout = std::ofstream(fname_out, std::ios::binary);
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if (!fout) {
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fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname_out.c_str());
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return false;
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}
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// verify magic
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{
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uint32_t magic;
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finp.read((char *) &magic, sizeof(magic));
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if (magic != GGML_FILE_MAGIC) {
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fprintf(stderr, "%s: invalid model file '%s' (bad magic)\n", __func__, fname_inp.c_str());
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return false;
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}
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fout.write((char *) &magic, sizeof(magic));
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}
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whisper_hparams hparams;
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// load hparams
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{
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finp.read((char *) &hparams.n_vocab, sizeof(hparams.n_vocab));
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finp.read((char *) &hparams.n_audio_ctx, sizeof(hparams.n_audio_ctx));
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finp.read((char *) &hparams.n_audio_state, sizeof(hparams.n_audio_state));
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finp.read((char *) &hparams.n_audio_head, sizeof(hparams.n_audio_head));
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finp.read((char *) &hparams.n_audio_layer, sizeof(hparams.n_audio_layer));
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finp.read((char *) &hparams.n_text_ctx, sizeof(hparams.n_text_ctx));
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finp.read((char *) &hparams.n_text_state, sizeof(hparams.n_text_state));
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finp.read((char *) &hparams.n_text_head, sizeof(hparams.n_text_head));
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finp.read((char *) &hparams.n_text_layer, sizeof(hparams.n_text_layer));
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finp.read((char *) &hparams.n_mels, sizeof(hparams.n_mels));
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finp.read((char *) &hparams.ftype, sizeof(hparams.ftype));
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const int32_t qntvr_src = hparams.ftype / GGML_QNT_VERSION_FACTOR;
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const int32_t ftype_dst = GGML_QNT_VERSION * GGML_QNT_VERSION_FACTOR + ftype;
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fprintf(stderr, "%s: n_vocab = %d\n", __func__, hparams.n_vocab);
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fprintf(stderr, "%s: n_audio_ctx = %d\n", __func__, hparams.n_audio_ctx);
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fprintf(stderr, "%s: n_audio_state = %d\n", __func__, hparams.n_audio_state);
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fprintf(stderr, "%s: n_audio_head = %d\n", __func__, hparams.n_audio_head);
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fprintf(stderr, "%s: n_audio_layer = %d\n", __func__, hparams.n_audio_layer);
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fprintf(stderr, "%s: n_text_ctx = %d\n", __func__, hparams.n_text_ctx);
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fprintf(stderr, "%s: n_text_state = %d\n", __func__, hparams.n_text_state);
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fprintf(stderr, "%s: n_text_head = %d\n", __func__, hparams.n_text_head);
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fprintf(stderr, "%s: n_text_layer = %d\n", __func__, hparams.n_text_layer);
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fprintf(stderr, "%s: n_mels = %d\n", __func__, hparams.n_mels);
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fprintf(stderr, "%s: ftype (src) = %d\n", __func__, hparams.ftype);
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fprintf(stderr, "%s: qntvr (src) = %d\n", __func__, qntvr_src);
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fprintf(stderr, "%s: ftype (dst) = %d\n", __func__, ftype_dst);
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fprintf(stderr, "%s: qntvr (dst) = %d\n", __func__, GGML_QNT_VERSION);
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fout.write((const char *) &hparams.n_vocab, sizeof(hparams.n_vocab));
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fout.write((const char *) &hparams.n_audio_ctx, sizeof(hparams.n_audio_ctx));
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fout.write((const char *) &hparams.n_audio_state, sizeof(hparams.n_audio_state));
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fout.write((const char *) &hparams.n_audio_head, sizeof(hparams.n_audio_head));
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fout.write((const char *) &hparams.n_audio_layer, sizeof(hparams.n_audio_layer));
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fout.write((const char *) &hparams.n_text_ctx, sizeof(hparams.n_text_ctx));
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fout.write((const char *) &hparams.n_text_state, sizeof(hparams.n_text_state));
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fout.write((const char *) &hparams.n_text_head, sizeof(hparams.n_text_head));
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fout.write((const char *) &hparams.n_text_layer, sizeof(hparams.n_text_layer));
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fout.write((const char *) &hparams.n_mels, sizeof(hparams.n_mels));
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fout.write((const char *) &ftype_dst, sizeof(hparams.ftype));
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}
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// load mel filters
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{
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whisper_filters filters;
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finp.read ((char *) &filters.n_mel, sizeof(filters.n_mel));
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fout.write((char *) &filters.n_mel, sizeof(filters.n_mel));
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finp.read ((char *) &filters.n_fft, sizeof(filters.n_fft));
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fout.write((char *) &filters.n_fft, sizeof(filters.n_fft));
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filters.data.resize(filters.n_mel * filters.n_fft);
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finp.read ((char *) filters.data.data(), filters.data.size() * sizeof(float));
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fout.write((char *) filters.data.data(), filters.data.size() * sizeof(float));
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}
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// load vocab
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{
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int32_t n_vocab = 0;
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finp.read ((char *) &n_vocab, sizeof(n_vocab));
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fout.write((char *) &n_vocab, sizeof(n_vocab));
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//if (n_vocab != hparams.n_vocab) {
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// fprintf(stderr, "%s: invalid model file '%s' (bad vocab size %d != %d)\n",
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// __func__, fname_inp.c_str(), n_vocab, hparams.n_vocab);
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// return false;
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//}
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char word[129];
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for (int i = 0; i < n_vocab; i++) {
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uint32_t len;
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finp.read ((char *) &len, sizeof(len));
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fout.write((char *) &len, sizeof(len));
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word[len] = '\0';
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finp.read ((char *) word, len);
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fout.write((char *) word, len);
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vocab.token_to_id[word] = i;
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vocab.id_to_token[i] = word;
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}
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}
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// regexes of tensor names to not be quantized
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const std::vector<std::string> to_skip = {
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//"encoder.*",
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"encoder.conv1.bias",
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"encoder.conv2.bias",
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"encoder.positional_embedding",
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"decoder.positional_embedding",
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};
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if (!ggml_common_quantize_0(finp, fout, ftype, { ".*" }, to_skip)) {
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fprintf(stderr, "%s: failed to quantize model '%s'\n", __func__, fname_inp.c_str());
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return false;
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}
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finp.close();
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fout.close();
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return true;
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}
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int main(int argc, char ** argv) {
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if (argc != 4) {
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fprintf(stderr, "usage: %s model-f32.bin model-quant.bin type\n", argv[0]);
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ggml_print_ftypes(stderr);
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return 1;
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}
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// needed to initialize f16 tables
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{
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struct ggml_init_params params = { 0, NULL, false };
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struct ggml_context * ctx = ggml_init(params);
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ggml_free(ctx);
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}
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const std::string fname_inp = argv[1];
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const std::string fname_out = argv[2];
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const ggml_ftype ftype = ggml_parse_ftype(argv[3]);
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const int64_t t_main_start_us = ggml_time_us();
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int64_t t_quantize_us = 0;
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// load the model
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{
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const int64_t t_start_us = ggml_time_us();
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if (!whisper_model_quantize(fname_inp, fname_out, ggml_ftype(ftype))) {
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fprintf(stderr, "%s: failed to quantize model from '%s'\n", __func__, fname_inp.c_str());
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return 1;
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}
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t_quantize_us = ggml_time_us() - t_start_us;
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}
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// report timing
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{
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const int64_t t_main_end_us = ggml_time_us();
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printf("\n");
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printf("%s: quantize time = %8.2f ms\n", __func__, t_quantize_us/1000.0f);
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printf("%s: total time = %8.2f ms\n", __func__, (t_main_end_us - t_main_start_us)/1000.0f);
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}
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return 0;
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}
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