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https://github.com/ggerganov/llama.cpp.git
synced 2024-12-25 02:44:36 +00:00
Slightly faster imatrix (#5050)
* imatrix: speedup by avoiding unnecessary allocations and copies * imatrix: add --no-ppl option to skip PPL calculations altogether --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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@ -248,7 +248,7 @@ static void process_logits(
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static bool compute_imatrix(llama_context * ctx, const gpt_params & params) {
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static bool compute_imatrix(llama_context * ctx, const gpt_params & params, bool compute_ppl) {
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const bool add_bos = llama_should_add_bos_token(llama_get_model(ctx));
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const bool add_bos = llama_should_add_bos_token(llama_get_model(ctx));
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const int n_ctx = llama_n_ctx(ctx);
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const int n_ctx = llama_n_ctx(ctx);
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@ -269,10 +269,12 @@ static bool compute_imatrix(llama_context * ctx, const gpt_params & params) {
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}
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}
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std::vector<float> logit_history;
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std::vector<float> logit_history;
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logit_history.resize(tokens.size());
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std::vector<float> prob_history;
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std::vector<float> prob_history;
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if (compute_ppl) {
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logit_history.resize(tokens.size());
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prob_history.resize(tokens.size());
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prob_history.resize(tokens.size());
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}
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const int n_chunk_max = tokens.size() / n_ctx;
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const int n_chunk_max = tokens.size() / n_ctx;
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@ -288,12 +290,17 @@ static bool compute_imatrix(llama_context * ctx, const gpt_params & params) {
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std::vector<std::thread> workers(std::thread::hardware_concurrency() - 1);
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std::vector<std::thread> workers(std::thread::hardware_concurrency() - 1);
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const int num_batches = (n_ctx + n_batch - 1) / n_batch;
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std::vector<float> logits;
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if (compute_ppl && num_batches > 1) {
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logits.reserve((size_t)n_ctx * n_vocab);
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}
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for (int i = 0; i < n_chunk; ++i) {
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for (int i = 0; i < n_chunk; ++i) {
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const int start = i * n_ctx;
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const int start = i * n_ctx;
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const int end = start + n_ctx;
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const int end = start + n_ctx;
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const int num_batches = (n_ctx + n_batch - 1) / n_batch;
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std::vector<float> logits;
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std::vector<float> logits;
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const auto t_start = std::chrono::high_resolution_clock::now();
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const auto t_start = std::chrono::high_resolution_clock::now();
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@ -321,9 +328,11 @@ static bool compute_imatrix(llama_context * ctx, const gpt_params & params) {
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// restore the original token in case it was set to BOS
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// restore the original token in case it was set to BOS
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tokens[batch_start] = token_org;
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tokens[batch_start] = token_org;
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if (compute_ppl && num_batches > 1) {
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const auto * batch_logits = llama_get_logits(ctx);
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const auto * batch_logits = llama_get_logits(ctx);
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logits.insert(logits.end(), batch_logits, batch_logits + batch_size * n_vocab);
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logits.insert(logits.end(), batch_logits, batch_logits + batch_size * n_vocab);
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}
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}
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}
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const auto t_end = std::chrono::high_resolution_clock::now();
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const auto t_end = std::chrono::high_resolution_clock::now();
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@ -338,16 +347,22 @@ static bool compute_imatrix(llama_context * ctx, const gpt_params & params) {
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fprintf(stderr, "%.2f minutes\n", total_seconds / 60.0);
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fprintf(stderr, "%.2f minutes\n", total_seconds / 60.0);
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}
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}
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if (compute_ppl) {
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const int first = n_ctx/2;
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const int first = n_ctx/2;
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process_logits(n_vocab, logits.data() + first*n_vocab, tokens.data() + start + first, n_ctx - 1 - first,
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const auto all_logits = num_batches > 1 ? logits.data() : llama_get_logits(ctx);
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process_logits(n_vocab, all_logits + first*n_vocab, tokens.data() + start + first, n_ctx - 1 - first,
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workers, nll, nll2, logit_history.data() + start + first, prob_history.data() + start + first);
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workers, nll, nll2, logit_history.data() + start + first, prob_history.data() + start + first);
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count += n_ctx - first - 1;
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count += n_ctx - first - 1;
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printf("[%d]%.4lf,", i + 1, std::exp(nll / count));
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printf("[%d]%.4lf,", i + 1, std::exp(nll / count));
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fflush(stdout);
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fflush(stdout);
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logits.clear();
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}
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}
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}
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printf("\n");
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printf("\n");
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if (compute_ppl) {
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nll2 /= count;
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nll2 /= count;
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nll /= count;
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nll /= count;
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const double ppl = exp(nll);
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const double ppl = exp(nll);
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@ -358,6 +373,7 @@ static bool compute_imatrix(llama_context * ctx, const gpt_params & params) {
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} else {
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} else {
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printf("Unexpected negative standard deviation of log(prob)\n");
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printf("Unexpected negative standard deviation of log(prob)\n");
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}
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}
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}
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return true;
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return true;
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}
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}
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@ -365,6 +381,7 @@ static bool compute_imatrix(llama_context * ctx, const gpt_params & params) {
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int main(int argc, char ** argv) {
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int main(int argc, char ** argv) {
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StatParams sparams;
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StatParams sparams;
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bool compute_ppl = true;
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std::vector<char*> args;
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std::vector<char*> args;
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args.push_back(argv[0]);
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args.push_back(argv[0]);
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int iarg = 1;
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int iarg = 1;
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@ -381,13 +398,20 @@ int main(int argc, char ** argv) {
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}
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}
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else if (arg == "--verbosity") {
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else if (arg == "--verbosity") {
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sparams.verbosity = std::stoi(argv[++iarg]);
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sparams.verbosity = std::stoi(argv[++iarg]);
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} else if (arg == "--no-ppl") {
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compute_ppl = false;
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} else {
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} else {
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args.push_back(argv[iarg]);
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args.push_back(argv[iarg]);
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}
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}
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}
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}
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if (iarg < argc) {
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if (iarg < argc) {
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std::string arg{argv[iarg]};
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if (arg == "--no-ppl") {
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compute_ppl = false;
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} else {
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args.push_back(argv[iarg]);
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args.push_back(argv[iarg]);
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}
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}
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}
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gpt_params params;
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gpt_params params;
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params.n_batch = 512;
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params.n_batch = 512;
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@ -448,7 +472,7 @@ int main(int argc, char ** argv) {
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fprintf(stderr, "%s\n", get_system_info(params).c_str());
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fprintf(stderr, "%s\n", get_system_info(params).c_str());
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}
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}
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bool OK = compute_imatrix(ctx, params);
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bool OK = compute_imatrix(ctx, params, compute_ppl);
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if (!OK) {
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if (!OK) {
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return 1;
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return 1;
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}
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}
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