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Building on Zero
File size: 6,357 Bytes
0475af5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 | #include "arg.h"
#include "common.h"
#include "llama.h"
#include <algorithm>
#include <clocale>
#include <cmath>
#include <cstdio>
#include <vector>
static llama_context * make_ctx(const common_params & params, llama_model * model) {
auto cparams = common_context_params_to_llama(params);
cparams.n_seq_max = 1;
cparams.n_rs_seq = 8;
cparams.n_batch = std::max(cparams.n_batch, (uint32_t) (cparams.n_rs_seq + 1));
cparams.n_ubatch = std::max(cparams.n_ubatch, (uint32_t) (cparams.n_rs_seq + 1));
return llama_init_from_model(model, cparams);
}
static bool decode_tokens(llama_context * ctx, const std::vector<llama_token> & tokens, uint32_t count) {
llama_batch batch = llama_batch_init(count, 0, 1);
for (uint32_t pos = 0; pos < count; ++pos) {
common_batch_add(batch, tokens[pos], pos, { 0 }, false);
}
const bool ok = llama_decode(ctx, batch) == 0;
llama_batch_free(batch);
return ok;
}
static bool decode_one(llama_context * ctx, llama_token tok, llama_pos pos) {
llama_batch batch = llama_batch_init(1, 0, 1);
common_batch_add(batch, tok, pos, { 0 }, true);
const bool ok = llama_decode(ctx, batch) == 0;
llama_batch_free(batch);
return ok;
}
int main(int argc, char ** argv) {
std::setlocale(LC_NUMERIC, "C");
common_params params;
params.sampling.seed = 1234;
params.n_predict = 1;
common_init();
if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) {
return 1;
}
ggml_backend_load_all();
common_init_result_ptr llama_init = common_init_from_params(params);
llama_model * model = llama_init->model();
if (model == nullptr) {
fprintf(stderr, "%s : failed to init model\n", __func__);
return 1;
}
if (!llama_model_is_recurrent(model) && !llama_model_is_hybrid(model)) {
fprintf(stderr, "%s : skipping for non-recurrent model\n", __func__);
return 0;
}
const llama_vocab * vocab = llama_model_get_vocab(model);
const int n_vocab = llama_vocab_n_tokens(vocab);
llama_context * ctx_src = make_ctx(params, model);
llama_context * ctx_dst = make_ctx(params, model);
if (ctx_src == nullptr || ctx_dst == nullptr) {
fprintf(stderr, "%s : failed to init contexts\n", __func__);
return 1;
}
if (llama_n_rs_seq(ctx_src) == 0) {
fprintf(stderr, "%s : skipping because n_rs_seq is disabled\n", __func__);
llama_free(ctx_src);
llama_free(ctx_dst);
return 0;
}
std::vector<llama_token> tokens = common_tokenize(ctx_src, "The quick brown fox jumps", true);
const uint32_t n_rs_seq = llama_n_rs_seq(ctx_src);
if (tokens.size() > n_rs_seq + 1) {
tokens.resize(n_rs_seq + 1);
}
if (tokens.size() < 2) {
fprintf(stderr, "%s : not enough prompt tokens\n", __func__);
return 1;
}
const uint32_t n_tokens = tokens.size();
const llama_token last_tok = tokens.back();
const llama_pos last_pos = (llama_pos) n_tokens - 2;
// Decode the full prompt on the source, then roll back the last position.
// Rollback leaves the recurrent memory in a snapshot state (rs_idx != 0).
if (!decode_tokens(ctx_src, tokens, n_tokens)) {
fprintf(stderr, "%s : failed to decode prompt\n", __func__);
return 1;
}
if (!llama_memory_seq_rm(llama_get_memory(ctx_src), 0, last_pos, -1)) {
fprintf(stderr, "%s : rollback failed\n", __func__);
return 1;
}
// Save the rolled-back state and restore it into a fresh context.
common_prompt_checkpoint ckpt;
ckpt.update_tgt(ctx_src, 0, 0);
ckpt.load_tgt(ctx_dst, 0, 0);
// Replay the rolled-back token on both contexts and compare logits.
if (!decode_one(ctx_src, last_tok, last_pos) ||
!decode_one(ctx_dst, last_tok, last_pos)) {
fprintf(stderr, "%s : replay failed\n", __func__);
return 1;
}
const float * logits_src = llama_get_logits_ith(ctx_src, 0);
const float * logits_dst = llama_get_logits_ith(ctx_dst, 0);
if (logits_src == nullptr || logits_dst == nullptr) {
fprintf(stderr, "%s : missing logits\n", __func__);
return 1;
}
constexpr float eps = 1e-5f;
for (int i = 0; i < n_vocab; ++i) {
if (std::fabs(logits_src[i] - logits_dst[i]) > eps) {
fprintf(stderr, "%s : logits mismatch at token %d (%g != %g)\n",
__func__, i, (double) logits_src[i], (double) logits_dst[i]);
return 1;
}
}
// Repeat the load into a context that already has its own rollback state:
// groups 1..n_rs_seq hold a *different* prompt's history, and rs_idx[0] is
// non-zero at load time. The restore must wipe that state and still match.
llama_context * ctx_dirty = make_ctx(params, model);
if (ctx_dirty == nullptr) {
fprintf(stderr, "%s : failed to init dirty ctx\n", __func__);
return 1;
}
std::vector<llama_token> noise = tokens;
for (auto & t : noise) {
t = (t + 1) % n_vocab;
if (t < 0) {
t = 0;
}
}
if (!decode_tokens(ctx_dirty, noise, n_tokens)) {
fprintf(stderr, "%s : dirty prompt decode failed\n", __func__);
return 1;
}
if (!llama_memory_seq_rm(llama_get_memory(ctx_dirty), 0, last_pos, -1)) {
fprintf(stderr, "%s : dirty rollback failed\n", __func__);
return 1;
}
ckpt.load_tgt(ctx_dirty, 0, 0);
if (!decode_one(ctx_dirty, last_tok, last_pos)) {
fprintf(stderr, "%s : dirty replay failed\n", __func__);
return 1;
}
const float * logits_dirty = llama_get_logits_ith(ctx_dirty, 0);
if (logits_dirty == nullptr) {
fprintf(stderr, "%s : missing dirty logits\n", __func__);
return 1;
}
for (int i = 0; i < n_vocab; ++i) {
if (std::fabs(logits_src[i] - logits_dirty[i]) > eps) {
fprintf(stderr, "%s : dirty-ctx logits mismatch at token %d (%g != %g)\n",
__func__, i, (double) logits_src[i], (double) logits_dirty[i]);
return 1;
}
}
fprintf(stderr, "%s : recurrent rollback checkpoint restored successfully\n", __func__);
llama_free(ctx_src);
llama_free(ctx_dst);
llama_free(ctx_dirty);
return 0;
}
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