mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-12-24 10:24:35 +00:00
affc76edfd
* Broadcasting for ggml_mul * CUDA kernel for ggml_mul, norms in VRAM * GPU weights not in RAM, direct loading with cuFile * fixup! GPU weights not in RAM, direct loading with cuFile * fixup! GPU weights not in RAM, direct loading with cuFile * define default model path once, sync path with readme (#1366) * ~7% faster Q5_1 AVX2 code (#1477) * convert.py: Support models which are stored in a single pytorch_model.bin (#1469) * Support models in a single pytorch_model.bin * Remove spurious line with typo * benchmark-matmul: Print the average of the test results (#1490) * Remove unused n_parts parameter (#1509) * Fixes #1511 lambda issue for w64devkit (mingw) (#1513) * Fix for w64devkit and mingw * make kv_f16 the default for api users (#1517) * minor : fix compile warnings * readme : adds WizardLM to the list of supported models (#1485) * main : make reverse prompt option act as a stop token in non-interactive mode (#1032) * Make reverse prompt option act as a stop token in non-interactive scenarios * Making requested review changes * Update gpt_params_parse and fix a merge error * Revert "Update gpt_params_parse and fix a merge error" This reverts commit2bb2ff1748
. * Update gpt_params_parse and fix a merge error take 2 * examples : add persistent chat (#1495) * examples : add persistent chat * examples : fix whitespace --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * tests : add missing header * ggml : use F16 instead of F32 in Q4_0, Q4_1, Q8_0 (#1508) * ggml : use F16 instead of F32 in Q4_0, Q4_1 and Q8_0 * llama : bump LLAMA_FILE_VERSION to 3 * cuda : update Q4 and Q8 dequantize kernels * ggml : fix AVX dot products * readme : update performance table + hot topics * ggml : fix scalar implementation of Q4_1 dot * llama : fix compile warnings in llama_set_state_data() * llama : fix name shadowing and C4146 (#1526) * Fix name shadowing and C4146 * Fix if macros not using defined when required * Update llama-util.h Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> * Update llama-util.h Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> * Code style Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Fix for mingw (#1462) * llama : add llama_init_backend() API (close #1527) * feature : add blis and other BLAS implementation support (#1502) * feature: add blis support * feature: allow all BLA_VENDOR to be assigned in cmake arguments. align with whisper.cpp pr 927 * fix: version detection for BLA_SIZEOF_INTEGER, recover min version of cmake * Fix typo in INTEGER Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Revert "feature : add blis and other BLAS implementation support (#1502)" This reverts commit07e9ace0f9
. * GPU weights not in RAM, direct loading with cuFile * llama : code style fixes + progress print fix * ggml : ggml_mul better broadcast support * cmake : workarounds for cufile when CMake version < 3.25 * gg rebase fixup * Loop in llama.cpp, fixed progress callback * Attempt clang-tidy fix * llama : fix vram size computation * Add forgotten fclose() --------- Co-authored-by: András Salamon <ott2@users.noreply.github.com> Co-authored-by: Ilya Kurdyukov <59548320+ilyakurdyukov@users.noreply.github.com> Co-authored-by: Tom Jobbins <784313+TheBloke@users.noreply.github.com> Co-authored-by: rankaiyx <rankaiyx@rankaiyx.com> Co-authored-by: Stephan Walter <stephan@walter.name> Co-authored-by: DannyDaemonic <DannyDaemonic@gmail.com> Co-authored-by: Erik Scholz <Green-Sky@users.noreply.github.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: David Kennedy <dakennedyd@gmail.com> Co-authored-by: Jason McCartney <jmac@theroot.org> Co-authored-by: Evan Jones <evan.q.jones@gmail.com> Co-authored-by: Maxime <672982+maximegmd@users.noreply.github.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Zenix <zenixls2@gmail.com>
475 lines
13 KiB
C++
475 lines
13 KiB
C++
// Internal header to be included only by llama.cpp.
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// Contains wrappers around OS interfaces.
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#ifndef LLAMA_UTIL_H
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#define LLAMA_UTIL_H
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#include <cstdio>
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#include <cstdint>
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#include <cerrno>
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#include <cstring>
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#include <cstdarg>
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#include <cstdlib>
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#include <climits>
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#include <string>
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#include <vector>
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#include <stdexcept>
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#ifdef __has_include
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#if __has_include(<unistd.h>)
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#include <unistd.h>
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#if defined(_POSIX_MAPPED_FILES)
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#include <sys/mman.h>
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#endif
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#if defined(_POSIX_MEMLOCK_RANGE)
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#include <sys/resource.h>
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#endif
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#endif
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#endif
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#if defined(_WIN32)
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#define WIN32_LEAN_AND_MEAN
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#ifndef NOMINMAX
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#define NOMINMAX
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#endif
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#include <windows.h>
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#include <io.h>
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#include <stdio.h> // for _fseeki64
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#endif
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#define LLAMA_ASSERT(x) \
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do { \
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if (!(x)) { \
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fprintf(stderr, "LLAMA_ASSERT: %s:%d: %s\n", __FILE__, __LINE__, #x); \
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abort(); \
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} \
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} while (0)
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#ifdef __GNUC__
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#ifdef __MINGW32__
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__attribute__((format(gnu_printf, 1, 2)))
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#else
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__attribute__((format(printf, 1, 2)))
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#endif
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#endif
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static std::string format(const char * fmt, ...) {
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va_list ap, ap2;
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va_start(ap, fmt);
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va_copy(ap2, ap);
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int size = vsnprintf(NULL, 0, fmt, ap);
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LLAMA_ASSERT(size >= 0 && size < INT_MAX);
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std::vector<char> buf(size + 1);
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int size2 = vsnprintf(buf.data(), size + 1, fmt, ap2);
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LLAMA_ASSERT(size2 == size);
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va_end(ap2);
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va_end(ap);
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return std::string(buf.data(), size);
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}
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struct llama_file {
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// use FILE * so we don't have to re-open the file to mmap
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FILE * fp;
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size_t size;
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llama_file(const char * fname, const char * mode) {
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fp = std::fopen(fname, mode);
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if (fp == NULL) {
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throw std::runtime_error(format("failed to open %s: %s", fname, strerror(errno)));
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}
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seek(0, SEEK_END);
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size = tell();
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seek(0, SEEK_SET);
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}
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size_t tell() const {
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#ifdef _WIN32
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__int64 ret = _ftelli64(fp);
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#else
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long ret = std::ftell(fp);
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#endif
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LLAMA_ASSERT(ret != -1); // this really shouldn't fail
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return (size_t) ret;
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}
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void seek(size_t offset, int whence) {
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#ifdef _WIN32
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int ret = _fseeki64(fp, (__int64) offset, whence);
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#else
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int ret = std::fseek(fp, (long) offset, whence);
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#endif
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LLAMA_ASSERT(ret == 0); // same
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}
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void read_raw(void * ptr, size_t len) const {
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if (len == 0) {
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return;
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}
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errno = 0;
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std::size_t ret = std::fread(ptr, len, 1, fp);
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if (ferror(fp)) {
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throw std::runtime_error(format("read error: %s", strerror(errno)));
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}
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if (ret != 1) {
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throw std::runtime_error(std::string("unexpectedly reached end of file"));
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}
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}
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std::uint32_t read_u32() {
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std::uint32_t ret;
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read_raw(&ret, sizeof(ret));
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return ret;
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}
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std::string read_string(std::uint32_t len) {
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std::vector<char> chars(len);
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read_raw(chars.data(), len);
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return std::string(chars.data(), len);
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}
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void write_raw(const void * ptr, size_t len) const {
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if (len == 0) {
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return;
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}
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errno = 0;
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size_t ret = std::fwrite(ptr, len, 1, fp);
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if (ret != 1) {
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throw std::runtime_error(format("write error: %s", strerror(errno)));
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}
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}
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void write_u32(std::uint32_t val) {
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write_raw(&val, sizeof(val));
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}
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~llama_file() {
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if (fp) {
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std::fclose(fp);
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}
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}
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};
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#if defined(_WIN32)
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static std::string llama_format_win_err(DWORD err) {
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LPSTR buf;
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size_t size = FormatMessageA(FORMAT_MESSAGE_ALLOCATE_BUFFER | FORMAT_MESSAGE_FROM_SYSTEM | FORMAT_MESSAGE_IGNORE_INSERTS,
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NULL, err, MAKELANGID(LANG_NEUTRAL, SUBLANG_DEFAULT), (LPSTR)&buf, 0, NULL);
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if (!size) {
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return "FormatMessageA failed";
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}
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std::string ret(buf, size);
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LocalFree(buf);
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return ret;
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}
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#endif
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struct llama_mmap {
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void * addr;
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size_t size;
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llama_mmap(const llama_mmap &) = delete;
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#ifdef _POSIX_MAPPED_FILES
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static constexpr bool SUPPORTED = true;
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llama_mmap(struct llama_file * file, size_t prefetch = (size_t) -1 /* -1 = max value */) {
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size = file->size;
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int fd = fileno(file->fp);
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int flags = MAP_SHARED;
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#ifdef __linux__
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flags |= MAP_POPULATE;
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#endif
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addr = mmap(NULL, file->size, PROT_READ, flags, fd, 0);
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if (addr == MAP_FAILED) {
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throw std::runtime_error(format("mmap failed: %s", strerror(errno)));
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}
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if (prefetch > 0) {
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// Advise the kernel to preload the mapped memory
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if (madvise(addr, std::min(file->size, prefetch), MADV_WILLNEED)) {
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fprintf(stderr, "warning: madvise(.., MADV_WILLNEED) failed: %s\n",
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strerror(errno));
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}
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}
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}
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~llama_mmap() {
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munmap(addr, size);
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}
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#elif defined(_WIN32)
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static constexpr bool SUPPORTED = true;
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llama_mmap(struct llama_file * file, bool prefetch = true) {
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size = file->size;
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HANDLE hFile = (HANDLE) _get_osfhandle(_fileno(file->fp));
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HANDLE hMapping = CreateFileMappingA(hFile, NULL, PAGE_READONLY, 0, 0, NULL);
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DWORD error = GetLastError();
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if (hMapping == NULL) {
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throw std::runtime_error(format("CreateFileMappingA failed: %s", llama_format_win_err(error).c_str()));
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}
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addr = MapViewOfFile(hMapping, FILE_MAP_READ, 0, 0, 0);
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error = GetLastError();
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CloseHandle(hMapping);
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if (addr == NULL) {
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throw std::runtime_error(format("MapViewOfFile failed: %s", llama_format_win_err(error).c_str()));
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}
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#if _WIN32_WINNT >= _WIN32_WINNT_WIN8
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if (prefetch) {
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// Advise the kernel to preload the mapped memory
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WIN32_MEMORY_RANGE_ENTRY range;
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range.VirtualAddress = addr;
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range.NumberOfBytes = (SIZE_T)size;
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if (!PrefetchVirtualMemory(GetCurrentProcess(), 1, &range, 0)) {
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fprintf(stderr, "warning: PrefetchVirtualMemory failed: %s\n",
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llama_format_win_err(GetLastError()).c_str());
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}
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}
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#else
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#pragma message("warning: You are building for pre-Windows 8; prefetch not supported")
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#endif // _WIN32_WINNT >= _WIN32_WINNT_WIN8
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}
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~llama_mmap() {
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if (!UnmapViewOfFile(addr)) {
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fprintf(stderr, "warning: UnmapViewOfFile failed: %s\n",
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llama_format_win_err(GetLastError()).c_str());
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}
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}
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#else
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static constexpr bool SUPPORTED = false;
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llama_mmap(struct llama_file *, bool prefetch = true) {
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(void)prefetch;
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throw std::runtime_error(std::string("mmap not supported"));
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}
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#endif
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};
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// Represents some region of memory being locked using mlock or VirtualLock;
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// will automatically unlock on destruction.
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struct llama_mlock {
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void * addr = NULL;
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size_t size = 0;
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bool failed_already = false;
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llama_mlock() {}
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llama_mlock(const llama_mlock &) = delete;
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~llama_mlock() {
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if (size) {
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raw_unlock(addr, size);
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}
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}
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void init(void * ptr) {
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LLAMA_ASSERT(addr == NULL && size == 0);
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addr = ptr;
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}
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void grow_to(size_t target_size) {
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LLAMA_ASSERT(addr);
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if (failed_already) {
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return;
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}
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size_t granularity = lock_granularity();
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target_size = (target_size + granularity - 1) & ~(granularity - 1);
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if (target_size > size) {
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if (raw_lock((uint8_t *) addr + size, target_size - size)) {
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size = target_size;
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} else {
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failed_already = true;
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}
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}
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}
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#ifdef _POSIX_MEMLOCK_RANGE
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static constexpr bool SUPPORTED = true;
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size_t lock_granularity() {
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return (size_t) sysconf(_SC_PAGESIZE);
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}
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#ifdef __APPLE__
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#define MLOCK_SUGGESTION \
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"Try increasing the sysctl values 'vm.user_wire_limit' and 'vm.global_user_wire_limit' and/or " \
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"decreasing 'vm.global_no_user_wire_amount'. Also try increasing RLIMIT_MLOCK (ulimit -l).\n"
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#else
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#define MLOCK_SUGGESTION \
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"Try increasing RLIMIT_MLOCK ('ulimit -l' as root).\n"
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#endif
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bool raw_lock(const void * addr, size_t size) {
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if (!mlock(addr, size)) {
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return true;
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} else {
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char* errmsg = std::strerror(errno);
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bool suggest = (errno == ENOMEM);
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// Check if the resource limit is fine after all
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struct rlimit lock_limit;
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if (suggest && getrlimit(RLIMIT_MEMLOCK, &lock_limit))
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suggest = false;
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if (suggest && (lock_limit.rlim_max > lock_limit.rlim_cur + size))
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suggest = false;
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fprintf(stderr, "warning: failed to mlock %zu-byte buffer (after previously locking %zu bytes): %s\n%s",
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size, this->size, errmsg, suggest ? MLOCK_SUGGESTION : "");
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return false;
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}
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}
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#undef MLOCK_SUGGESTION
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void raw_unlock(void * addr, size_t size) {
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if (munlock(addr, size)) {
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fprintf(stderr, "warning: failed to munlock buffer: %s\n", std::strerror(errno));
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}
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}
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#elif defined(_WIN32)
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static constexpr bool SUPPORTED = true;
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size_t lock_granularity() {
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SYSTEM_INFO si;
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GetSystemInfo(&si);
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return (size_t) si.dwPageSize;
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}
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bool raw_lock(void * ptr, size_t len) {
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for (int tries = 1; ; tries++) {
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if (VirtualLock(ptr, len)) {
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return true;
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}
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if (tries == 2) {
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fprintf(stderr, "warning: failed to VirtualLock %zu-byte buffer (after previously locking %zu bytes): %s\n",
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len, size, llama_format_win_err(GetLastError()).c_str());
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return false;
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}
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// It failed but this was only the first try; increase the working
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// set size and try again.
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SIZE_T min_ws_size, max_ws_size;
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if (!GetProcessWorkingSetSize(GetCurrentProcess(), &min_ws_size, &max_ws_size)) {
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fprintf(stderr, "warning: GetProcessWorkingSetSize failed: %s\n",
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llama_format_win_err(GetLastError()).c_str());
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return false;
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}
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// Per MSDN: "The maximum number of pages that a process can lock
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// is equal to the number of pages in its minimum working set minus
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// a small overhead."
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// Hopefully a megabyte is enough overhead:
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size_t increment = len + 1048576;
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// The minimum must be <= the maximum, so we need to increase both:
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min_ws_size += increment;
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max_ws_size += increment;
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if (!SetProcessWorkingSetSize(GetCurrentProcess(), min_ws_size, max_ws_size)) {
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fprintf(stderr, "warning: SetProcessWorkingSetSize failed: %s\n",
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llama_format_win_err(GetLastError()).c_str());
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return false;
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}
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}
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}
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void raw_unlock(void * ptr, size_t len) {
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if (!VirtualUnlock(ptr, len)) {
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fprintf(stderr, "warning: failed to VirtualUnlock buffer: %s\n",
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llama_format_win_err(GetLastError()).c_str());
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}
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}
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#else
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static constexpr bool SUPPORTED = false;
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size_t lock_granularity() {
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return (size_t) 65536;
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}
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bool raw_lock(const void * addr, size_t len) {
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fprintf(stderr, "warning: mlock not supported on this system\n");
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return false;
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}
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void raw_unlock(const void * addr, size_t len) {}
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#endif
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};
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// Replacement for std::vector<uint8_t> that doesn't require zero-initialization.
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struct llama_buffer {
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uint8_t * addr = NULL;
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size_t size = 0;
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llama_buffer() = default;
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void resize(size_t len) {
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delete[] addr;
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addr = new uint8_t[len];
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size = len;
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}
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~llama_buffer() {
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delete[] addr;
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}
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// disable copy and move
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llama_buffer(const llama_buffer&) = delete;
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llama_buffer(llama_buffer&&) = delete;
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llama_buffer& operator=(const llama_buffer&) = delete;
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llama_buffer& operator=(llama_buffer&&) = delete;
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};
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#ifdef GGML_USE_CUBLAS
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#include "ggml-cuda.h"
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struct llama_ctx_buffer {
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uint8_t * addr = NULL;
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bool is_cuda;
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size_t size = 0;
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llama_ctx_buffer() = default;
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void resize(size_t size) {
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free();
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addr = (uint8_t *) ggml_cuda_host_malloc(size);
|
|
if (addr) {
|
|
is_cuda = true;
|
|
}
|
|
else {
|
|
// fall back to pageable memory
|
|
addr = new uint8_t[size];
|
|
is_cuda = false;
|
|
}
|
|
this->size = size;
|
|
}
|
|
|
|
void free() {
|
|
if (addr) {
|
|
if (is_cuda) {
|
|
ggml_cuda_host_free(addr);
|
|
}
|
|
else {
|
|
delete[] addr;
|
|
}
|
|
}
|
|
addr = NULL;
|
|
}
|
|
|
|
~llama_ctx_buffer() {
|
|
free();
|
|
}
|
|
|
|
// disable copy and move
|
|
llama_ctx_buffer(const llama_ctx_buffer&) = delete;
|
|
llama_ctx_buffer(llama_ctx_buffer&&) = delete;
|
|
llama_ctx_buffer& operator=(const llama_ctx_buffer&) = delete;
|
|
llama_ctx_buffer& operator=(llama_ctx_buffer&&) = delete;
|
|
};
|
|
#else
|
|
typedef llama_buffer llama_ctx_buffer;
|
|
#endif
|
|
|
|
#endif
|