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echodict/llama.cpp

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sourceHugging Faceupdated 6mo agoView on Hugging Face
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llama-batch.cpp920 linesDownload Raw Back to src
1#include "llama-batch.h"2 3#include "llama-impl.h"4#include "llama-vocab.h"5#include "llama-memory.h"6 7#include <cassert>8#include <cstring>9#include <algorithm>10#include <sstream>11 12llama_batch_allocr::llama_batch_allocr(uint32_t n_pos_per_embd) : n_pos_per_embd(n_pos_per_embd) {13    const char * LLAMA_BATCH_DEBUG = getenv("LLAMA_BATCH_DEBUG");14    debug = LLAMA_BATCH_DEBUG ? atoi(LLAMA_BATCH_DEBUG) : 0;15 16    seq_pos.resize(LLAMA_MAX_SEQ);17    seq_cpl.resize(LLAMA_MAX_SEQ);18    for (auto & cur : seq_cpl) {19        cur.resize(LLAMA_MAX_SEQ);20    }21 22    seq_idx.resize(LLAMA_MAX_SEQ, -1);23}24 25bool llama_batch_allocr::init(26        const llama_batch & batch_inp,27        const llama_vocab & vocab,28        const llama_memory_i * memory,29        uint32_t n_embd,30        uint32_t n_seq_max,31        bool output_all) {32    clear();33 34    batch = batch_inp;35 36    this->vocab = &vocab;37 38    GGML_ASSERT(batch.n_tokens > 0);39 40    //41    // validate input batch42    //43 44    if (n_seq_max > LLAMA_MAX_SEQ) {45        LLAMA_LOG_ERROR("%s: n_seq_max = %d > %d\n", __func__, n_seq_max, LLAMA_MAX_SEQ);46        return false;47    }48 49    if (batch.token) {50        for (int32_t i = 0; i < batch.n_tokens; ++i) {51            if (batch.token[i] < 0 || (uint32_t) batch.token[i] >= vocab.n_tokens()) {52                LLAMA_LOG_ERROR("%s: invalid token[%d] = %d\n", __func__, i, batch.token[i]);53                return false;54            }55        }56    }57 58    if (batch.seq_id) {59        for (int32_t i = 0; i < batch.n_tokens; ++i) {60            for (int32_t s = 0; s < batch.n_seq_id[i]; ++s) {61                if (batch.seq_id && (batch.seq_id[i][s] < 0 || batch.seq_id[i][s] >= (llama_seq_id) n_seq_max)) {62                    LLAMA_LOG_ERROR("%s: invalid seq_id[%d][%d] = %d >= %d\n", __func__, i, s, batch.seq_id[i][s], (llama_seq_id) n_seq_max);63                    return false;64                }65            }66        }67    }68 69    //70    // auto-generate missing fields71    //72 73    if (!batch.n_seq_id) {74        n_seq_id.resize(batch.n_tokens);75        for (int32_t i = 0; i < batch.n_tokens; i++) {76            n_seq_id[i] = seq_id_0.size();77        }78        batch.n_seq_id = n_seq_id.data();79    }80 81    if (!batch.seq_id) {82        seq_id.resize(batch.n_tokens + 1);83        seq_id[batch.n_tokens] = NULL;84        for (int32_t i = 0; i < batch.n_tokens; i++) {85            seq_id[i] = seq_id_0.data();86        }87        batch.seq_id = seq_id.data();88    }89 90    if (!batch.pos) {91        pos.resize(batch.n_tokens);92 93        // initialize the starting position for each sequence based on the positions in the memory94        llama_pos p0[LLAMA_MAX_SEQ];95        for (uint32_t s = 0; s < n_seq_max; ++s) {96            if (!memory) {97                // if no memory -> start from 098                p0[s] = 0;99            } else {100                p0[s] = memory->seq_pos_max(s) + 1;101            }102        }103 104        for (int32_t i = 0; i < batch.n_tokens; i++) {105            const llama_seq_id seq_id = batch.seq_id[i][0];106 107            pos[i] = p0[seq_id];108 109            // update the starting position for all sequences that are assigned to the this token110            for (int32_t s = 0; s < batch.n_seq_id[i]; ++s) {111                const llama_seq_id seq_id = batch.seq_id[i][s];112 113                p0[seq_id] = pos[i] + 1;114            }115        }116 117        batch.pos = pos.data();118    }119 120    if (!batch.logits) {121        if (output_all) {122            // return the output for all tokens123            output.resize(batch.n_tokens, true);124        } else {125            // return the output only for the last token126            output.resize(batch.n_tokens, false);127            output[output.size() - 1] = true;128        }129 130        batch.logits = output.data();131    } else if (output_all) {132        bool warn = false;133 134        for (int32_t i = 0; i < batch.n_tokens; ++i) {135            if (batch.logits[i] == 0) {136                warn = true;137            }138        }139 140        if (warn) {141            LLAMA_LOG_WARN("%s: embeddings required but some input tokens were not marked as outputs -> overriding\n", __func__);142 143            output.resize(batch.n_tokens, true);144            batch.logits = output.data();145        }146    }147 148    //149    // compute stats150    //151 152    this->n_embd    = n_embd;153    this->n_seq_max = n_seq_max;154 155    // count the outputs in this batch156    for (int32_t i = 0; i < batch.n_tokens; ++i) {157        n_outputs += batch.logits[i] != 0;158    }159 160    has_cpl = false;161 162    // determine coupled sequences163    // these are pairs of sequences that have at least one token in the input batch that is assigned to both of them164    for (int32_t i = 0; i < batch.n_tokens; ++i) {165        const llama_seq_id s0 = batch.seq_id[i][0];166 167        for (int32_t s = 0; s < batch.n_seq_id[i]; ++s) {168            const llama_seq_id s1 = batch.seq_id[i][s];169 170            seq_pos[s1].insert(batch.pos[i]);171 172            if (s > 0) {173                // mark that sequence s1 is coupled to s0174                seq_cpl[s1][s0] = true;175 176                // note: tracking the other way around is not necessary for now177                //seq_cpl[s0][s1] = true;178 179                has_cpl = true;180            }181        }182    }183 184    // precompute the sequence sets for each token and determine the unique sequence ids that participate in the batch185    {186        seq_set_t seq_set_unq;187 188        for (int32_t i = 0; i < batch.n_tokens; ++i) {189            seq_set_t cur;190            for (int32_t s = 0; s < batch.n_seq_id[i]; ++s) {191                const llama_seq_id seq_id = batch.seq_id[i][s];192 193                cur        .set(seq_id);194                seq_set_unq.set(seq_id);195            }196 197            seq_set.push_back(cur);198            seq_set_map[cur].push_back(i);199        }200 201        for (uint32_t s = 0; s < n_seq_max; ++s) {202            if (seq_set_unq.test(s)) {203                seq_idx[s] = seq_id_unq.size();204                seq_id_unq.push_back(s);205            }206        }207    }208 209    if (debug > 0) {210        LLAMA_LOG_DEBUG("%s: input batch info:\n", __func__);211 212        llama_ubatch ubatch {213            /*.b_equal_seqs =*/ false,214            /*.n_tokens     =*/ (uint32_t) batch.n_tokens,215            /*.n_seq_tokens =*/ (uint32_t) 1,216            /*.n_seqs       =*/ (uint32_t) batch.n_tokens,217            /*.n_seqs_unq   =*/ (uint32_t) this->seq_id_unq.size(),218            /*.n_pos        =*/ n_pos_per_embd,219            /*.token        =*/ batch.token,220            /*.embd         =*/ batch.embd,221            /*.pos          =*/ batch.pos,222            /*.n_seq_id     =*/ batch.n_seq_id,223            /*.seq_id       =*/ batch.seq_id,224            /*.seq_id_unq   =*/ this->seq_id_unq.data(),225            /*.seq_idx      =*/ this->seq_idx.data(),226            /*.output       =*/ batch.logits,227            /*.data         =*/ {},228        };229 230        ubatch_print(ubatch, debug);231 232        LLAMA_LOG_DEBUG("%s:   seq       = [\n", __func__);233        for (int s0 = 0; s0 < (int) seq_pos.size(); ++s0) {234            if (seq_pos[s0].empty()) {235                continue;236            }237 238            std::stringstream ss;239            for (int s1 = 0; s1 < (int) seq_cpl[s0].size(); ++s1) {240                if (seq_cpl[s0][s1]) {241                    ss << s1 << " ";242                }243            }244 245            LLAMA_LOG_DEBUG("%s:  %4d: pos = [%4d, %4d], cpl = %s\n",246                    __func__, s0, seq_pos_min(s0), seq_pos_max(s0), ss.str().empty() ? "-" : ss.str().c_str());247        }248        LLAMA_LOG_DEBUG("%s:   ]\n", __func__);249    }250 251    //252    // consistency checks253    //254 255    if (n_pos_per_embd > 1) {256        // M-RoPE case: allow position to "jump" forward only (non-continuous positions are allowed)257        for (uint32_t s = 0; s < n_seq_max; ++s) {258            if (seq_pos[s].empty()) {259                continue;260            }261 262            const llama_pos p0 = memory ? memory->seq_pos_max(s) : -1;263 264            if (batch.token) {265                if (p0 >= 0 && p0 >= seq_pos_min(s)) {266                    LLAMA_LOG_ERROR(267                            "%s: the tokens of sequence %d in the input batch have inconsistent sequence positions:\n"268                            " - the last position stored in the memory module of the context (i.e. the KV cache) for sequence %d is X = %d\n"269                            " - the tokens for sequence %d in the input batch have a starting position of Y = %d\n"270                            " for M-RoPE, it is required that the position satisfies: X < Y\n",271                            __func__, s, s, p0, s, seq_pos_min(s));272 273                    return false;274                }275            } else {276                // embedding inputs can have overlapping positions277                if (p0 >= 0 && p0 > seq_pos_min(s)) {278                    LLAMA_LOG_ERROR(279                            "%s: the tokens of sequence %d in the input batch have inconsistent sequence positions:\n"280                            " - the last position stored in the memory module of the context (i.e. the KV cache) for sequence %d is X = %d\n"281                            " - the tokens for sequence %d in the input batch have a starting position of Y = %d\n"282                            " for M-RoPE, it is required that the position satisfies: X <= Y\n",283                            __func__, s, s, p0, s, seq_pos_min(s));284 285                    return false;286                }287            }288        }289    } else {290        for (uint32_t s = 0; s < n_seq_max; ++s) {291            if (seq_pos[s].empty()) {292                continue;293            }294 295            const llama_pos p0 = memory ? memory->seq_pos_max(s) : -1;296 297            if (p0 >= 0) {298                bool ok = true;299 300                if (seq_pos_min(s) != p0 + 1) {301                    ok = false;302                }303 304                if (!ok) {305                    LLAMA_LOG_ERROR(306                            "%s: the tokens of sequence %d in the input batch have inconsistent sequence positions:\n"307                            " - the last position stored in the memory module of the context (i.e. the KV cache) for sequence %d is X = %d\n"308                            " - the tokens for sequence %d in the input batch have a starting position of Y = %d\n"309                            " it is required that the sequence positions remain consecutive: Y = X + 1\n",310                            __func__, s, s, p0, s, seq_pos_min(s));311 312                    return false;313                }314            }315 316            if (seq_pos_max(s) - seq_pos_min(s) + 1 > (int) seq_pos[s].size()) {317                LLAMA_LOG_ERROR("%s: sequence %d positions are not continuous\n", __func__, s);318                return false;319            }320        }321    }322 323    if (memory) {324        for (uint32_t s0 = 0; s0 < n_seq_max; ++s0) {325            for (uint32_t s1 = 0; s1 < n_seq_max; ++s1) {326                if (seq_cpl[s0][s1]) {327                    if (memory->seq_pos_min(s0) != memory->seq_pos_min(s1) ||328                        memory->seq_pos_max(s0) != memory->seq_pos_max(s1)) {329                        LLAMA_LOG_ERROR("%s: sequence %d is coupled to %d in the input batch, but have divereged\n", __func__, s0, s1);330                        return false;331                    }332                }333            }334        }335    }336 337    // disallow partial sequence sub-sets:338    //339    // invalid:          x340    //            i: 0 1 2 ...341    // ---------------------------------------342    // seq_id[i][0]: 0 0 1343    // seq_id[i][1]: 1 1 2344    // seq_id[i][2]: 2345    //346    // disallow decreasing sequence positions:347    //348    // invalid:                  x349    //            i: 0 1 2 3 4 5 6 ...350    // ---------------------------------------351    //       pos[i]: 4 5 0 1 6 2 3352    // seq_id[i][0]: 0 0 1 1 0 1 0353    //354    {355        seq_set_t cur_seq_set[LLAMA_MAX_SEQ];356        for (uint32_t s = 0; s < n_seq_max; ++s) {357            cur_seq_set[s].set();358        }359 360        llama_pos cur_seq_pos[LLAMA_MAX_SEQ];361        for (uint32_t s = 0; s < n_seq_max; ++s) {362            cur_seq_pos[s] = -1;363        }364 365        for (int32_t i = 0; i < batch.n_tokens; ++i) {366            const llama_pos pos = batch.pos[i];367 368            for (int32_t s = 0; s < batch.n_seq_id[i]; ++s) {369                const llama_seq_id seq_id = batch.seq_id[i][s];370 371                cur_seq_set[seq_id] &= seq_set[i];372 373                if (cur_seq_set[seq_id].none()) {374                    LLAMA_LOG_ERROR("%s: sequence %d belongs to incompatible sequence sets (not allowed)\n", __func__, seq_id);375                    return false;376                }377 378                if (pos < cur_seq_pos[seq_id]) {379                    LLAMA_LOG_ERROR("%s: sequence %d positions are decreasing (not allowed)\n", __func__, seq_id);380                    return false;381                }382            }383        }384    }385 386    split_reset();387 388    return true;389}390 391llama_ubatch llama_batch_allocr::ubatch_reserve(uint32_t n_seq_tokens, uint32_t n_seqs) {392    const uint32_t n_tokens = n_seq_tokens*n_seqs;393 394    clear();395    split_reset();396 397    const int64_t n_pos_all = (int64_t) n_tokens*n_pos_per_embd;398 399    auto udata = std::make_shared<llama_ubatch::data_t>();400 401    udata->token     .resize(n_tokens);402    udata->embd      .clear();403    udata->pos       .resize(n_pos_all);404    udata->n_seq_id  .resize(n_tokens);405    udata->seq_id    .resize(n_tokens);406    udata->seq_id_unq.resize(0);407    udata->seq_idx   .resize(LLAMA_MAX_SEQ, -1);408    udata->output    .resize(n_tokens);409 410    for (uint32_t s = 0; s < n_seqs; ++s) {411        udata->seq_idx[s] = s;412        udata->seq_id_unq.push_back(s);413    }414 415    llama_ubatch res {416        /*.b_equal_seqs =*/ true,417        /*.n_tokens     =*/ n_tokens,418        /*.n_seq_tokens =*/ n_seq_tokens,419        /*.n_seqs       =*/ n_seqs,420        /*.n_seqs_unq   =*/ n_seqs,421        /*.n_pos        =*/ n_pos_per_embd,422 423        /*.token        =*/ udata->token.data(),424        /*.embd         =*/ nullptr,425        /*.pos          =*/ udata->pos.data(),426        /*.n_seq_id     =*/ udata->n_seq_id.data(),427        /*.seq_id       =*/ udata->seq_id.data(),428        /*.seq_id_unq   =*/ udata->seq_id_unq.data(),429        /*.seq_idx      =*/ udata->seq_idx.data(),430        /*.output       =*/ udata->output.data(),431        /*.data         =*/ std::move(udata),432    };433 434    return res;435}436 437const llama_batch & llama_batch_allocr::get_batch() const {438    return batch;439}440 441uint32_t llama_batch_allocr::get_n_tokens() const {442    return batch.n_tokens;443}444 445uint32_t llama_batch_allocr::get_n_outputs() const {446    return n_outputs;447}448 449uint32_t llama_batch_allocr::get_n_used() const {450    return n_used;451}452 453std::vector<int32_t> & llama_batch_allocr::get_out_ids() {454    return out_ids;455}456 457llama_pos llama_batch_allocr::seq_pos_min(llama_seq_id seq_id) const {458    return seq_pos[seq_id].empty() ? -1 : *seq_pos[seq_id].begin();459}460 461llama_pos llama_batch_allocr::seq_pos_max(llama_seq_id seq_id) const {462    return seq_pos[seq_id].empty() ? -1 : *seq_pos[seq_id].rbegin();463}464 465void llama_batch_allocr::split_reset() {466    out_ids.clear();467 468    n_used = 0;469 470    used.clear();471    used.resize(get_n_tokens(), false);472}473 474llama_ubatch llama_batch_allocr::split_simple(uint32_t n_ubatch) {475    // find the first unused token476    uint32_t cur_idx = 0;477    while (cur_idx < used.size() && used[cur_idx]) {478        ++cur_idx;479    }480 481    // we are done482    if (cur_idx >= used.size()) {483        return {};484    }485 486    std::vector<int32_t> idxs;487 488    while (true) {489        idxs.push_back(cur_idx);490 491        used[cur_idx] = true;492        ++n_used;493 494        ++cur_idx;495 496        if (cur_idx >= used.size()) {497            break;498        }499 500        if (idxs.size() >= n_ubatch) {501            break;502        }503    }504 505    return ubatch_add(idxs, idxs.size(), false);506}507 508llama_ubatch llama_batch_allocr::split_equal(uint32_t n_ubatch, bool sequential) {509    if (sequential && has_cpl) {510        LLAMA_LOG_ERROR("%s: sequential split is not supported when there are coupled sequences in the input batch (you may need to use the -kvu flag)\n", __func__);511 512        return {};513    }514 515    std::vector<seq_set_t> cur_seq_set;516 517    llama_seq_id last_seq_id = -1;518 519    // determine the non-overlapping sequence sets participating in this ubatch520    for (int32_t i = 0; i < batch.n_tokens; ++i) {521        if (used[i]) {522            continue;523        }524 525        bool add = true;526 527        for (uint32_t s = 0; s < cur_seq_set.size(); ++s) {528            // no overlap with existing sequence sets:529            if (!(cur_seq_set[s] & seq_set[i]).none()) {530                add = false;531                break;532            }533        }534 535        // accept only increasing sequence ids536        if (sequential) {537            add = add && (cur_seq_set.empty() || batch.seq_id[i][0] == last_seq_id + 1);538        }539 540        if (add) {541            cur_seq_set.push_back(seq_set[i]);542 543            last_seq_id = batch.seq_id[i][0];544 545            if (cur_seq_set.size() > n_ubatch) {546                break;547            }548        }549    }550 551    const uint32_t n_seqs = cur_seq_set.size();552 553    // we are done554    if (n_seqs == 0) {555        return {};556    }557 558    // the current batch index of each sequence set559    std::vector<int32_t> cur_idx(n_seqs, 0);560 561    for (uint32_t s = 0; s < n_seqs; ++s) {562        while (used[seq_set_map[cur_seq_set[s]][cur_idx[s]]]) {563            ++cur_idx[s];564        }565    }566 567    // the list of batch indices for each sequence set568    // at the end we will concat these to get the final ubatch569    std::vector<idx_vec_t> idxs_per_seq(n_seqs);570 571    while (true) {572        // we can only add new n_seq_tokens tokens if all the sequence sets have at least one more unused token and573        //   if we haven't reached n_ubatch574        bool can_expand = true;575 576        for (uint32_t s = 0; s < n_seqs; ++s) {577            if (cur_idx[s] >= (int32_t) seq_set_map[cur_seq_set[s]].size()) {578                can_expand = false;579                break;580            }581        }582 583        if (!can_expand) {584            break;585        }586 587        for (uint32_t s = 0; s < n_seqs; ++s) {588            const int32_t idx = seq_set_map[cur_seq_set[s]][cur_idx[s]];589 590            idxs_per_seq[s].push_back(idx);591 592            used[idx] = true;593            ++n_used;594 595            ++cur_idx[s];596        }597 598        if  ((idxs_per_seq[0].size() + 1)*n_seqs > n_ubatch) {599            break;600        }601    }602 603    // concat the per-sequence-set lists604    std::vector<int32_t> idxs;605 606    for (uint32_t s = 0; s < n_seqs; ++s) {607        idxs.insert(idxs.end(), idxs_per_seq[s].begin(), idxs_per_seq[s].end());608    }609 610    return ubatch_add(idxs, n_seqs, true);611}612 613llama_ubatch llama_batch_allocr::split_seq(uint32_t n_ubatch) {614    // find the first unused token615    uint32_t cur_idx = 0;616    while (cur_idx < used.size() && used[cur_idx]) {617        ++cur_idx;618    }619 620    // we are done621    if (cur_idx >= used.size()) {622        return {};623    }624 625    // this is the starting sequence set626    // we allow adding tokens only if their sequence set is a subset of the current sequence set627    auto cur_seq_set = seq_set[cur_idx];628 629    std::vector<int32_t> idxs;630 631    while (true) {632        idxs.push_back(cur_idx);633 634        used[cur_idx] = true;635        ++n_used;636 637        if (idxs.size() >= n_ubatch) {638            break;639        }640 641        do {642            ++cur_idx;643        } while (cur_idx < get_n_tokens() && (used[cur_idx] || ((cur_seq_set & seq_set[cur_idx]) != seq_set[cur_idx])));644 645        if (cur_idx == get_n_tokens()) {646            break;647        }648 649        cur_seq_set = seq_set[cur_idx];650    }651 652    return ubatch_add(idxs, 1, true);653}654 655void llama_batch_allocr::clear() {656    n_outputs = 0;657 658    batch = {};659 660    pos       .clear();661    n_seq_id  .clear();662    seq_id    .clear();663    seq_id_unq.clear();664    output    .clear();665 666    for (auto & cur : seq_pos) {667        cur.clear();668    }669 670    for (auto & cur : seq_cpl) {671        std::fill(cur.begin(), cur.end(), false);672    }673 674    seq_set.clear();675 676    seq_set_map.clear();677 678    std::fill(seq_idx.begin(), seq_idx.end(), -1);679}680 681llama_ubatch llama_batch_allocr::ubatch_add(const std::vector<int32_t> & idxs, uint32_t n_seqs, bool equal_seqs) {682    const uint32_t n_tokens = idxs.size();683 684    assert(n_tokens%n_seqs == 0);685 686    auto udata = std::make_shared<llama_ubatch::data_t>();687 688    const int64_t n_embd_all = batch.embd ? (int64_t) n_tokens*n_embd : 0;689    const int64_t n_pos_all  =              (int64_t) n_tokens*n_pos_per_embd;690 691    udata->token     .resize(n_tokens);692    udata->embd      .resize(n_embd_all);693    udata->pos       .resize(n_pos_all);694    udata->n_seq_id  .resize(n_tokens);695    udata->seq_id    .resize(n_tokens);696    udata->seq_id_unq.resize(0);697    udata->seq_idx   .resize(LLAMA_MAX_SEQ, -1);698    udata->output    .resize(n_tokens);699 700    udata->seq_id_data.reserve(n_tokens);701 702    seq_set_t seq_set_unq;703 704    for (size_t i = 0; i < idxs.size(); ++i) {705        if (batch.token) {706            udata->token[i] = batch.token[idxs[i]];707        }708 709        if (batch.embd) {710            memcpy(udata->embd.data() + i*n_embd, batch.embd + (int64_t) idxs[i]*n_embd, n_embd*sizeof(float));711        }712 713        for (size_t j = 0; j < (size_t)n_pos_per_embd; ++j) {714            // if we are using M-RoPE715            //     if the current batch is text, we need to broadcast the same position across all RoPE sections716            //     otherwise, the input batch is image embeddings, we copy the positions as-is717            // if we are not using M-RoPE, there is only one position per token (this loop runs only once)718            size_t src_off = batch.token ? 0 : j*batch.n_tokens;719            udata->pos[j*n_tokens + i] = batch.pos[src_off + idxs[i]];720        }721 722        udata->n_seq_id[i] = batch.n_seq_id[idxs[i]];723        udata->output[i]   = batch.logits[idxs[i]];724 725        for (int s = 0; s < udata->n_seq_id[i]; ++s) {726            const llama_seq_id seq_id = batch.seq_id[idxs[i]][s];727 728            udata->seq_id_data.push_back(seq_id);729            seq_set_unq.set(seq_id);730        }731 732        if (udata->output[i]) {733            out_ids.push_back(idxs[i]);734        }735    }736 737    llama_seq_id * seq_id_ptr = udata->seq_id_data.data();738    for (size_t i = 0; i < idxs.size(); ++i) {739        udata->seq_id[i] = seq_id_ptr;740        seq_id_ptr += udata->n_seq_id[i];741    }742 743    for (uint32_t s = 0; s < n_seq_max; ++s) {744        if (seq_set_unq.test(s)) {745            udata->seq_idx[s] = udata->seq_id_unq.size();746            udata->seq_id_unq.push_back(s);747        }748    }749 750    llama_ubatch res {751        /*.b_equal_seqs =*/ equal_seqs,752        /*.n_tokens     =*/ n_tokens,753        /*.n_seq_tokens =*/ n_tokens/n_seqs,754        /*.n_seqs       =*/ n_seqs,755        /*.n_seqs_unq   =*/ (uint32_t) udata->seq_id_unq.size(),756        /*.n_pos        =*/ n_pos_per_embd,757 758        /*.token        =*/ batch.token ? udata->token.data() : nullptr,759        /*.embd         =*/ batch.embd ? udata->embd.data() : nullptr,760        /*.pos          =*/ udata->pos.data(),761        /*.n_seq_id     =*/ udata->n_seq_id.data(),762        /*.seq_id       =*/ udata->seq_id.data(),763        /*.seq_id_unq   =*/ udata->seq_id_unq.data(),764        /*.seq_idx      =*/ udata->seq_idx.data(),765        /*.output       =*/ udata->output.data(),766        /*.data         =*/ std::move(udata),767    };768 769    if (debug > 0) {770        LLAMA_LOG_DEBUG("%s: added ubatch to split:\n", __func__);771 772        ubatch_print(res, debug);773    }774 775    return res;776}777 778void llama_batch_allocr::ubatch_print(const llama_ubatch & ubatch, int debug) {779    if (debug > 0) {780        LLAMA_LOG_DEBUG("%s:   equal_seqs   = %d\n", __func__, ubatch.equal_seqs());781        LLAMA_LOG_DEBUG("%s:   n_tokens     = %d\n", __func__, ubatch.n_tokens);782        LLAMA_LOG_DEBUG("%s:   n_seq_tokens = %d\n", __func__, ubatch.n_seq_tokens);783        LLAMA_LOG_DEBUG("%s:   n_seqs       = %d\n", __func__, ubatch.n_seqs);784        LLAMA_LOG_DEBUG("%s:   n_seqs_unq   = %d\n", __func__, ubatch.n_seqs_unq);785 786        std::stringstream ss_seq_id_unq;787        std::stringstream ss_seq_idx;788 789        ss_seq_id_unq << "[ ";790        ss_seq_idx << "[";791 792        for (uint32_t s = 0; s < ubatch.n_seqs_unq; ++s) {793            ss_seq_id_unq << ubatch.seq_id_unq[s] << " ";794        }795 796        for (uint32_t s = 0; s < LLAMA_MAX_SEQ; ++s) {797            if (ubatch.seq_idx[s] >= 0) {798                ss_seq_idx << ubatch.seq_idx[s]%10;799            } else {800                ss_seq_idx << ".";801            }802        }803 804        ss_seq_id_unq << "]";805        ss_seq_idx    << "]";806 807        LLAMA_LOG_DEBUG("%s:   token      = %p\n", __func__, (void *) ubatch.token);808        LLAMA_LOG_DEBUG("%s:   embd       = %p\n", __func__, (void *) ubatch.embd);809        LLAMA_LOG_DEBUG("%s:   pos        = %p\n", __func__, (void *) ubatch.pos);810        LLAMA_LOG_DEBUG("%s:   n_seq_id   = %p\n", __func__, (void *) ubatch.n_seq_id);811        LLAMA_LOG_DEBUG("%s:   seq_id     = %p\n", __func__, (void *) ubatch.seq_id);812        LLAMA_LOG_DEBUG("%s:   seq_id_unq = %s\n", __func__, ss_seq_id_unq.str().c_str());813        LLAMA_LOG_DEBUG("%s:   seq_idx    = %s\n", __func__, ss_seq_idx.str().c_str());814        LLAMA_LOG_DEBUG("%s:   output     = %p\n", __func__, (void *) ubatch.output);815        LLAMA_LOG_DEBUG("%s:   n_outputs  = %d\n", __func__, n_outputs);816 817        if (debug > 1) {818            int seq_id_max = 0;819            for (uint32_t i = 0; i < ubatch.n_tokens; ++i) {820                for (int s = 0; s < ubatch.n_seq_id[i]; ++s) {821                    for (int s = 0; s < ubatch.n_seq_id[i]; ++s) {822                        seq_id_max = std::max(seq_id_max, ubatch.seq_id[i][s]);823                    }824                }825            }826            ++seq_id_max;827 828            LLAMA_LOG_DEBUG("%s:   token     = [\n", __func__);829            for (uint32_t i = 0; i < ubatch.n_tokens; ++i) {830                std::vector<int8_t> seq_id(seq_id_max);831 832                for (int s = 0; s < ubatch.n_seq_id[i]; ++s) {833                    seq_id[ubatch.seq_id[i][s]] = 1;834                }835 836                std::stringstream ss;837                for (int s = 0; s < seq_id_max; ++s) {838                    if (seq_id[s]) {839                        ss << s%10;840                    } else {841                        ss << ".";842                    }843                }844 845                if (ubatch.token) {846                    LLAMA_LOG_DEBUG("%s:  %4d: id = %6d (%16s), pos = %4d, n_seq_id = %2d, seq_id = [%s], output = %d\n",847                            __func__, i, ubatch.token[i], vocab->token_to_piece(ubatch.token[i]).c_str(),848                            ubatch.pos[i], ubatch.n_seq_id[i], ss.str().c_str(), ubatch.output[i]);849                } else {850                    LLAMA_LOG_DEBUG("%s:  %4d: [embd], pos = %4d, n_seq_id = %2d, seq_id = [%s], output = %d\n",851                            __func__, i, ubatch.pos[i], ubatch.n_seq_id[i], ss.str().c_str(), ubatch.output[i]);852                }853            }854            LLAMA_LOG_DEBUG("%s:   ]\n", __func__);855        }856    }857}858 859//860// interface implementation861//862 863struct llama_batch llama_batch_get_one(864             llama_token * tokens,865                 int32_t   n_tokens) {866    return {867        /*n_tokens =*/ n_tokens,868        /*tokens   =*/ tokens,869        /*embd     =*/ nullptr,870        /*pos      =*/ nullptr,871        /*n_seq_id =*/ nullptr,872        /*seq_id   =*/ nullptr,873        /*logits   =*/ nullptr,874    };875}876 877struct llama_batch llama_batch_init(int32_t n_tokens_alloc, int32_t embd, int32_t n_seq_max) {878    llama_batch batch = {879        /*n_tokens =*/ 0,880        /*tokens   =*/ nullptr,881        /*embd     =*/ nullptr,882        /*pos      =*/ nullptr,883        /*n_seq_id =*/ nullptr,884        /*seq_id   =*/ nullptr,885        /*logits   =*/ nullptr,886    };887 888    if (embd) {889        batch.embd = (float *) malloc(sizeof(float) * n_tokens_alloc * embd);890    } else {891        batch.token = (llama_token *) malloc(sizeof(llama_token) * n_tokens_alloc);892    }893 894    batch.pos      = (llama_pos *)     malloc(sizeof(llama_pos)      * n_tokens_alloc);895    batch.n_seq_id = (int32_t *)       malloc(sizeof(int32_t)        * n_tokens_alloc);896    batch.seq_id   = (llama_seq_id **) malloc(sizeof(llama_seq_id *) * (n_tokens_alloc + 1));897    for (int i = 0; i < n_tokens_alloc; ++i) {898        batch.seq_id[i] = (llama_seq_id *) malloc(sizeof(llama_seq_id) * n_seq_max);899    }900    batch.seq_id[n_tokens_alloc] = nullptr;901 902    batch.logits   = (int8_t *)        malloc(sizeof(int8_t)         * n_tokens_alloc);903 904    return batch;905}906 907void llama_batch_free(struct llama_batch batch) {908    if (batch.token)    free(batch.token);909    if (batch.embd)     free(batch.embd);910    if (batch.pos)      free(batch.pos);911    if (batch.n_seq_id) free(batch.n_seq_id);912    if (batch.seq_id) {913        for (int i = 0; batch.seq_id[i] != nullptr; ++i) {914            free(batch.seq_id[i]);915        }916        free(batch.seq_id);917    }918    if (batch.logits)   free(batch.logits);919}920