File size: 20,579 Bytes
bbb6388 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 | // src/kernels/ngram.cpp - P2.S4: the PLE n-gram hash and the IQ4_NL table read.
//
// See include/strata/kernels/ngram.hpp for the semantics, the rival readings, and the note on MADV_RANDOM.
#include "strata/kernels/ngram.hpp"
#include "strata/artifact/gguf_reader.hpp"
#include "strata/artifact/dequant.hpp"
#include "strata/kernels/f16_bits.hpp"
#include "strata/ngram/ple_reader.hpp"
#include <cerrno>
#include <cmath>
#include <cstdio>
#include <cstring>
#if !defined(_WIN32)
#include <sys/mman.h>
#endif
#include <vector>
#include <stdexcept>
#if defined(_WIN32)
// `PrefetchVirtualMemory` (memoryapi.h, Windows 8+) is the whole point of the change in `gather` below.
#define WIN32_LEAN_AND_MEAN
#define NOMINMAX
#include <windows.h>
#endif
namespace strata::kernels {
namespace {
/// The A/B arm. Host-token-path only, so it needs no atomics; see the note on `ple_prefetch_enable`.
bool g_ple_prefetch = true;
} // namespace
void ple_prefetch_enable(bool on) { g_ple_prefetch = on; }
bool ple_prefetch_enabled() { return g_ple_prefetch; }
PleConsts ple_artifact_consts() {
// docs/gguf-dump-shard1.txt, verbatim. Written once here rather than derived, because `head_offsets` is
// ALSO in the metadata as its own array - and deriving one from the other would hide a mismatch between
// them instead of surfacing it. The parity test checks the two agree.
PleConsts c{};
c.mult[0] = 23703573157769ull;
c.mult[1] = 20109073645365ull;
c.mult[2] = 8052911324071ull;
const uint64_t vocab[PLE_N_HEADS] = {
20000003, 20000023, 20000033, 20000047, 20000059, 20000063, 20000069, 20000077,
20000081, 20000093, 20000107, 20000147, 20000153, 20000159, 20000161, 20000171};
const uint64_t offset[PLE_N_HEADS] = {
0, 20000003, 40000026, 60000059, 80000106, 100000165, 120000228, 140000297,
160000374, 180000455, 200000548, 220000655, 240000802, 260000955, 280001114, 300001275};
for (int i = 0; i < PLE_N_HEADS; ++i) {
c.vocab[i] = vocab[i];
c.offset[i] = offset[i];
}
return c;
}
uint64_t ngram_mixed(const int64_t* ctx, const uint64_t* mult, int n) {
// The first term is an ASSIGNMENT and the rest are XORed into it, which is how the source writes it
// (`uint64_t mixed = ctx[0]*m[0]; for j=1.. mixed ^= ctx[j]*m[j];`). Every product wraps mod 2^64,
// which is what the `(uint64_t)` casts in the source make explicit.
uint64_t mixed = (uint64_t) ctx[0] * mult[0];
for (int j = 1; j < n; ++j) mixed ^= (uint64_t) ctx[j] * mult[j];
return mixed;
}
void ngram_rows(const int32_t* tokens, const int32_t* prev, int n_tokens, const PleConsts& c, uint32_t* out) {
const int n_prev = NGRAM_SIZE - 1;
for (int i = 0; i < n_tokens; ++i) {
int64_t ctx[NGRAM_SIZE];
ctx[0] = tokens[i];
bool cut = false;
for (int s = 1; s < NGRAM_SIZE; ++s) {
// `prev` is OLDEST FIRST, so predecessor `s` positions back is entry (n_prev - s): s=1 reads the
// NEWEST. Reading index (s-1) instead walks the window backwards, which still produces indices
// in range and so cannot be caught by a range check - only by an oracle.
const int32_t t = cut ? TOKEN_NULL : prev[i * n_prev + (n_prev - s)];
// The cut is evaluated BEFORE the value is stored, so the position whose predecessor was EOS is
// itself EOS. Storing first and then cutting would leave position s holding the real token while
// position s+1 became EOS - one token of history too much.
cut = cut || t < 0 || t == PLE_EOS_TOKEN_ID;
ctx[s] = cut ? PLE_EOS_TOKEN_ID : t;
}
for (int n = 2; n <= NGRAM_SIZE; ++n) {
const uint64_t mixed = ngram_mixed(ctx, c.mult, n);
const int base = (n - 2) * HEADS_PER_NGRAM;
for (int g = 0; g < HEADS_PER_NGRAM; ++g) {
const int h = base + g;
out[i * PLE_N_HEADS + h] = (uint32_t) (mixed % c.vocab[h] + c.offset[h]);
}
}
}
}
namespace {
const int8_t kIq4Nl[16] = {-127, -104, -83, -65, -49, -35, -22, -10, 1, 13, 25, 38, 53, 69, 89, 113};
}
int iq4nl_code(int code) { return kIq4Nl[code & 15]; }
void iq4nl_dequant_row(const uint8_t* row, float* out160) {
for (int b = 0; b < PLE_HEAD_DIM / 32; ++b) {
const uint8_t* blk = row + (size_t) b * 18;
uint16_t dbits;
std::memcpy(&dbits, blk, 2);
const float d = f32_from_f16(dbits);
const uint8_t* qs = blk + 2;
// SPLIT HALVES: qs[j] holds elements j and j+16, not 2j and 2j+1.
for (int j = 0; j < 16; ++j) {
out160[b * 32 + j] = d * (float) kIq4Nl[qs[j] & 0x0F];
out160[b * 32 + j + 16] = d * (float) kIq4Nl[qs[j] >> 4];
}
}
}
namespace {
struct Fp8Table {
float v[256];
Fp8Table() {
for (int x = 0; x < 256; ++x) {
const int s = x >> 7, e = (x >> 3) & 15, m = x & 7;
float f;
if (e == 15 && m == 7) f = 0.0f; // NaN in e4m3fn; never in a real table, read as 0
else if (e == 0) f = std::ldexp((float) m / 8.0f, -6);
else f = std::ldexp(1.0f + (float) m / 8.0f, e - 7);
v[x] = s ? -f : f;
}
}
};
const Fp8Table kFp8;
} // namespace
void fp8_e4m3_dequant_row(const uint8_t* row, float scale, float* out160) {
for (int j = 0; j < PLE_HEAD_DIM; ++j) out160[j] = kFp8.v[row[j]] * scale;
}
// ---------------------------------------------------------------------------------------------------
struct PleTable::Impl {
GgufFile* file = nullptr;
const uint8_t* data = nullptr;
uint64_t n_rows = 0;
bool q5_0 = false; // #296: Q5_0 rows (110 B), the mapped reader only
mutable uint64_t bytes_read = 0;
// Direct mode (plan v0.3 P2): the mapping above is released after the header parse and every row comes
// from an unbuffered SSD read into `raw`.
PleIo mode = PleIo::Mmap;
strata::ngram::PleReader reader;
strata::ngram::PleReader::Ticket ticket;
bool pending = false;
bool locked = false;
uint32_t rows[PLE_N_HEADS] = {};
uint8_t raw[PLE_N_HEADS * PLE_ROW_BYTES_MAX] = {};
bool fp8 = false; // F8_E4M3 rows (tools/ple_fp8_pack.py); else IQ4_NL
float scale = 1.0f; // the FP8 table's one scale
uint32_t rb = PLE_ROW_BYTES; // bytes per row
void decode(const uint8_t* row, float* out160) const {
if (fp8) fp8_e4m3_dequant_row(row, scale, out160);
else if (q5_0)
for (int b = 0; b < PLE_HEAD_DIM / 32; ++b) strata::dequantize_q5_0(row + (size_t) b * 22, out160 + b * 32);
else iq4nl_dequant_row(row, out160);
}
};
PleTable::PleTable() : impl_(new Impl) {}
PleTable::~PleTable() { close(); delete impl_; }
bool PleTable::open(const std::string& gguf_path, std::string& err) {
return open(gguf_path, err, PleIoOptions{});
}
bool PleTable::open(const std::string& gguf_path, std::string& err, const PleIoOptions& io) {
close();
try {
impl_->file = new GgufFile(gguf_path);
} catch (const std::exception& e) {
err = e.what();
return false;
}
const TensorInfo* t = impl_->file->find("per_layer_token_embd.weight");
if (t == nullptr) {
err = "per_layer_token_embd.weight is not in " + gguf_path;
close();
return false;
}
// [160, 320001536]: ne0 = 160 is the FAST axis, so the ROW index is shape[1] and a row is contiguous.
if (t->shape.size() != 2 || t->shape[0] != (uint64_t) PLE_HEAD_DIM) {
err = "per_layer_token_embd.weight has an unexpected shape";
close();
return false;
}
// IQ4_NL (ISTA-DASLab's shard 2, the original's own GGUF), Q5_0 (#296: OrcaRouter's GGUF), or the FP8 table as
// shipped: I8 bytes marked strata.ple.format = f8_e4m3 with strata.ple.scale (tools/ple_fp8_pack.py)
impl_->fp8 = false;
impl_->q5_0 = std::strcmp(t->type_name(), "Q5_0") == 0;
impl_->rb = impl_->q5_0 ? (PLE_HEAD_DIM / 32) * 22 : PLE_ROW_BYTES;
if (std::strcmp(t->type_name(), "I8") == 0) {
const MetaValue* f = impl_->file->get("strata.ple.format");
const MetaValue* s = impl_->file->get("strata.ple.scale");
if (f == nullptr || f->s != "f8_e4m3" || s == nullptr || !(s->num() > 0.0)) {
err = "per_layer_token_embd.weight is I8 without strata.ple.format = f8_e4m3 and a positive strata.ple.scale";
close();
return false;
}
impl_->fp8 = true;
impl_->scale = (float) s->num();
impl_->rb = PLE_ROW_BYTES_FP8;
} else if (!impl_->q5_0 && std::strcmp(t->type_name(), "IQ4_NL") != 0) {
err = std::string("per_layer_token_embd.weight is ") + t->type_name() + ", not IQ4_NL, Q5_0 or FP8 (I8)";
close();
return false;
}
// PleReader's row_bytes has been a runtime parameter since the FP8 table (160 B rows) needed it; Q5_0's
// 110 B rows go through the exact same generic path (ple_reader_test --selftest covers both 90 and 110 B
// rows: straddling, caching, in-flight tickets, keep-alive). This refusal was stale.
impl_->n_rows = t->shape[1];
impl_->data = impl_->file->tensor_data(*t);
// THE CHECK THAT MAKES THE OFFSET FALSIFIABLE. The manifest's `shard2_tensor.offset` is 0, but that is
// the offset within the GGUF's DATA SECTION: the file's first 192 bytes are a header, and reading at 0
// would decode the header plus 192 bytes of shifted rows - still plausible IQ4_NL, and wrong for every
// row. `GgufFile` parses the header, so `tensor_data` is already correct; this asserts the tensor
// exactly fills the file from there, which is what makes the whole arrangement checkable rather than
// assumed. A wrong data offset would leave a different remainder.
// A shard may hold other tensors too (Swift 1.5's shard 1 holds layers 0-12 and the table): the table must
// then fit inside the file at its own offset; alone in its shard (the original's shard 2) it fills it exactly.
const uint64_t need = impl_->n_rows * (uint64_t) impl_->rb;
const uint64_t have = impl_->file->file_size() - impl_->file->data_start();
const bool alone = impl_->file->tensors().size() == 1;
if (alone ? need != have : t->offset + need > have) {
char buf[256];
std::snprintf(buf, sizeof buf,
"PLE table size mismatch: %llu rows x %d B = %llu at offset %llu, but the file holds %llu from "
"data_start %llu",
(unsigned long long) impl_->n_rows, (int) impl_->rb, (unsigned long long) need,
(unsigned long long) t->offset, (unsigned long long) have,
(unsigned long long) impl_->file->data_start());
err = buf;
close();
return false;
}
if (io.mode == PleIo::Direct) {
// The parse above is the validated source of the offset; the mapping itself is not kept, so no page of
// the table can enter this process's working set or the file cache through it.
const uint64_t table_offset = impl_->file->data_start() + t->offset;
const uint64_t n_rows = impl_->n_rows;
delete impl_->file;
impl_->file = nullptr;
impl_->data = nullptr;
if (!impl_->reader.open(gguf_path, table_offset, n_rows, io.max_inflight, io.cache_rows, err, io.io_thread,
impl_->rb)) {
close();
return false;
}
impl_->reader.set_keepalive(io.keepalive_ms, io.keepalive_window_s);
impl_->n_rows = n_rows;
}
if (io.mode == PleIo::Mmap && io.lock && impl_->data != nullptr) {
#if !defined(_WIN32)
const uint64_t page = 4096;
const uintptr_t a0 = (uintptr_t) impl_->data & ~(uintptr_t) (page - 1);
const uintptr_t a1 = (uintptr_t) impl_->data + (uintptr_t) need;
madvise((void*) a0, a1 - a0, MADV_WILLNEED);
if (mlock((const void*) a0, a1 - a0) == 0) {
impl_->locked = true;
} else {
std::fprintf(stderr, "strata: PLE table mlock failed (%s; raise `ulimit -l`): touching its pages instead\n",
std::strerror(errno));
volatile uint8_t sink = 0;
for (uintptr_t p = a0; p < a1; p += page) sink = sink + *(const volatile uint8_t*) p;
(void) sink;
}
#endif
}
impl_->mode = io.mode;
return true;
}
void PleTable::close() {
impl_->reader.close();
impl_->pending = false;
impl_->locked = false; // the unmap below releases the lock
impl_->mode = PleIo::Mmap;
delete impl_->file;
impl_->file = nullptr;
impl_->data = nullptr;
impl_->n_rows = 0;
impl_->rb = PLE_ROW_BYTES;
impl_->q5_0 = false;
impl_->fp8 = false;
}
bool PleTable::is_open() const { return impl_->data != nullptr || impl_->reader.is_open(); }
bool PleTable::locked() const { return impl_->locked; }
const char* PleTable::format() const { return impl_->fp8 ? "F8_E4M3" : impl_->q5_0 ? "Q5_0" : "IQ4_NL"; }
PleIo PleTable::mode() const { return impl_->mode; }
uint64_t PleTable::rows() const { return impl_->n_rows; }
uint64_t PleTable::bytes_read() const { return impl_->bytes_read; }
void PleTable::read_row(uint32_t row, float* out160) const {
if (impl_->mode == PleIo::Direct && impl_->reader.is_open()) {
uint8_t raw[PLE_ROW_BYTES_MAX];
std::string err;
const auto t = impl_->reader.issue(&row, 1, raw);
if (!impl_->reader.collect(t, err)) {
std::memset(out160, 0, (size_t) PLE_HEAD_DIM * sizeof(float));
return;
}
impl_->decode(raw, out160);
impl_->bytes_read += impl_->rb;
return;
}
if (impl_->data == nullptr || row >= impl_->n_rows) {
std::memset(out160, 0, (size_t) PLE_HEAD_DIM * sizeof(float));
return;
}
impl_->decode(impl_->data + (size_t) row * impl_->rb, out160);
impl_->bytes_read += impl_->rb;
}
bool PleTable::issue(const uint32_t* rows16) {
std::memcpy(impl_->rows, rows16, sizeof impl_->rows);
if (impl_->mode == PleIo::Direct) {
if (impl_->pending) return false; // one token in flight per table
impl_->ticket = impl_->reader.issue(impl_->rows, PLE_N_HEADS, impl_->raw);
impl_->pending = true;
return true;
}
#if defined(_WIN32)
if (impl_->data != nullptr && g_ple_prefetch) {
WIN32_MEMORY_RANGE_ENTRY ranges[PLE_N_HEADS];
ULONG_PTR n = 0;
for (int h = 0; h < PLE_N_HEADS; ++h) {
if (rows16[h] >= impl_->n_rows) continue;
ranges[n].VirtualAddress = (PVOID) (impl_->data + (size_t) rows16[h] * impl_->rb);
ranges[n].NumberOfBytes = impl_->rb;
++n;
}
if (n > 0) (void) PrefetchVirtualMemory(GetCurrentProcess(), n, ranges, 0);
}
#endif
impl_->pending = true;
return true;
}
bool PleTable::collect(float* out2560, std::string& err) {
if (!impl_->pending) { err = "PleTable::collect without issue"; return false; }
impl_->pending = false;
if (impl_->mode == PleIo::Direct) {
if (!impl_->reader.collect(impl_->ticket, err)) return false;
for (int h = 0; h < PLE_N_HEADS; ++h)
impl_->decode(impl_->raw + (size_t) h * impl_->rb, out2560 + (size_t) h * PLE_HEAD_DIM);
impl_->bytes_read += (uint64_t) PLE_N_HEADS * impl_->rb;
return true;
}
for (int h = 0; h < PLE_N_HEADS; ++h) read_row(impl_->rows[h], out2560 + (size_t) h * PLE_HEAD_DIM);
return true;
}
bool PleTable::gather_batch(const uint32_t* rows, size_t n_tokens, float* out, std::string& err) {
if (impl_->pending) { err = "PleTable::gather_batch while a token is in flight"; return false; }
const size_t n = n_tokens * (size_t) PLE_N_HEADS;
if (impl_->mode == PleIo::Direct) {
std::vector<uint8_t> raw(n * impl_->rb);
const auto ticket = impl_->reader.issue(rows, n, raw.data());
if (!impl_->reader.collect(ticket, err)) return false;
for (size_t i = 0; i < n; ++i) impl_->decode(raw.data() + i * impl_->rb, out + i * PLE_HEAD_DIM);
impl_->bytes_read += (uint64_t) n * impl_->rb;
return true;
}
for (size_t i = 0; i < n; ++i) read_row(rows[i], out + i * PLE_HEAD_DIM);
return true;
}
void PleTable::set_injected_delay_us(double us) { impl_->reader.set_injected_delay_us(us); }
std::string PleTable::io_report() const {
if (impl_->mode != PleIo::Direct || !impl_->reader.is_open()) return {};
const strata::ngram::ReaderStats s = impl_->reader.snapshot();
char buf[400];
int n = std::snprintf(buf, sizeof buf,
"ple io: %llu rows, %.1f%% row-cache hits, %llu SSD reads (%.1f MB), read p50 %.0f us p99 %.0f us, "
"blocked %.3f ms total (submit %.3f ms), cache %llu/%llu rows",
(unsigned long long) s.requests, s.requests ? 100.0 * (double) s.cache_hits / (double) s.requests : 0.0,
(unsigned long long) s.reads, (double) s.bytes / 1e6, s.percentile(0.5), s.percentile(0.99),
s.wait_us / 1000.0, s.submit_us / 1000.0, (unsigned long long) impl_->reader.cache_size(),
(unsigned long long) impl_->reader.cache_capacity());
if (s.keepalive_reads > 0 && n > 0 && n < (int) sizeof buf)
std::snprintf(buf + n, sizeof buf - (size_t) n, ", SSD kept awake by %llu reads (slowest %.1f ms)",
(unsigned long long) s.keepalive_reads, s.keepalive_us_max / 1000.0);
return buf;
}
void PleTable::gather(const uint32_t* rows16, float* out2560) const {
if (impl_->mode == PleIo::Direct) {
// `gather` stays const for its existing callers; the reader's state is the table's I/O state.
PleTable* self = const_cast<PleTable*>(this);
std::string err;
if (!self->issue(rows16) || !self->collect(out2560, err)) {
std::fprintf(stderr, "PleTable::gather: %s\n", err.empty() ? "a token is already in flight" : err.c_str());
std::memset(out2560, 0, (size_t) NG_N_EMBD * sizeof(float));
}
return;
}
// ================================ SIXTEEN SERIAL PAGE FAULTS, MEASURED ================================
//
// **THIS COST 2.10-2.61 ms PER TOKEN AND HAD NEVER BEEN IN THE PLAN'S BUDGET AT ALL.** The round-309
// `token host phases` line put it second behind the layer loop among avoidable terms, and the arithmetic
// says why: the table is 320,001,536 rows of `PLE_ROW_BYTES` = 90 B in a 26.8 GB mapping, so the sixteen
// rows a token needs are 1,440 B - **0.5 MB/s**. That is not bandwidth, it is latency: sixteen reads into
// sixteen different 4 KB pages scattered across 26.8 GB, taken ONE AT A TIME, and on this machine the PLE
// shard is 26.8 GB against 63 GB of RAM that the 31.6 GB expert arena is also competing for, so they are
// not in the OS cache. Sixteen serial NVMe reads at ~150 us is 2.4 ms, which is the measurement.
//
// `PrefetchVirtualMemory` issues all sixteen in ONE call and lets them complete in parallel. It is a hint
// and cannot change the answer - a range it does not fetch is simply faulted in by the read that follows -
// so the only risk is that it does nothing.
#if defined(_WIN32)
if (impl_->data != nullptr && g_ple_prefetch) {
WIN32_MEMORY_RANGE_ENTRY ranges[PLE_N_HEADS];
ULONG_PTR n = 0;
for (int h = 0; h < PLE_N_HEADS; ++h) {
// Out-of-range rows are handled by `read_row` as zeros and have no address to prefetch.
if (rows16[h] >= impl_->n_rows) continue;
ranges[n].VirtualAddress = (PVOID) (impl_->data + (size_t) rows16[h] * impl_->rb);
ranges[n].NumberOfBytes = impl_->rb;
++n;
}
if (n > 0) (void) PrefetchVirtualMemory(GetCurrentProcess(), n, ranges, 0);
}
#endif
// HEAD-SLOWEST, which is what `ggml_get_rows` does and what the source's own comment says: head h's 160
// values occupy [h*160, (h+1)*160). A head-fastest layout would put element (d, h) at d*16 + h and needs
// a real transpose - a reshape of the same flat buffer compares equal and would make the check vacuous.
for (int h = 0; h < PLE_N_HEADS; ++h) read_row(rows16[h], out2560 + (size_t) h * PLE_HEAD_DIM);
}
} // namespace strata::kernels
|