mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2024-12-28 17:49:05 +01:00
talk-llama : update to latest llama.cpp (improved performance)
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File diff suppressed because it is too large
Load Diff
@ -6,7 +6,7 @@
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#include <stdbool.h>
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#ifdef LLAMA_SHARED
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# ifdef _WIN32
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# if defined(_WIN32) && !defined(__MINGW32__)
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# ifdef LLAMA_BUILD
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# define LLAMA_API __declspec(dllexport)
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# else
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@ -20,7 +20,7 @@
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#endif
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#define LLAMA_FILE_VERSION 1
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#define LLAMA_FILE_MAGIC 0x67676d66 // 'ggmf' in hex
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#define LLAMA_FILE_MAGIC 0x67676a74 // 'ggjt' in hex
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#define LLAMA_FILE_MAGIC_UNVERSIONED 0x67676d6c // pre-versioned files
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#ifdef __cplusplus
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@ -45,7 +45,7 @@ extern "C" {
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} llama_token_data;
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typedef void (*llama_progress_callback)(double progress, void *ctx);
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typedef void (*llama_progress_callback)(float progress, void *ctx);
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struct llama_context_params {
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int n_ctx; // text context
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@ -55,6 +55,7 @@ extern "C" {
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bool f16_kv; // use fp16 for KV cache
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bool logits_all; // the llama_eval() call computes all logits, not just the last one
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bool vocab_only; // only load the vocabulary, no weights
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bool use_mmap; // use mmap if possible
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bool use_mlock; // force system to keep model in RAM
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bool embedding; // embedding mode only
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@ -66,6 +67,9 @@ extern "C" {
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LLAMA_API struct llama_context_params llama_context_default_params();
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LLAMA_API bool llama_mmap_supported();
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LLAMA_API bool llama_mlock_supported();
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// Various functions for loading a ggml llama model.
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// Allocate (almost) all memory needed for the model.
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// Return NULL on failure
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@ -81,8 +85,24 @@ extern "C" {
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LLAMA_API int llama_model_quantize(
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const char * fname_inp,
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const char * fname_out,
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int itype,
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int qk);
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int itype);
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// Returns the KV cache that will contain the context for the
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// ongoing prediction with the model.
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LLAMA_API const uint8_t * llama_get_kv_cache(struct llama_context * ctx);
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// Returns the size of the KV cache
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LLAMA_API size_t llama_get_kv_cache_size(struct llama_context * ctx);
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// Returns the number of tokens in the KV cache
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LLAMA_API int llama_get_kv_cache_token_count(struct llama_context * ctx);
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// Sets the KV cache containing the current context for the model
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LLAMA_API void llama_set_kv_cache(
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struct llama_context * ctx,
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const uint8_t * kv_cache,
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size_t n_size,
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int n_token_count);
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// Run the llama inference to obtain the logits and probabilities for the next token.
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// tokens + n_tokens is the provided batch of new tokens to process
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@ -135,9 +155,9 @@ extern "C" {
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const llama_token * last_n_tokens_data,
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int last_n_tokens_size,
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int top_k,
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double top_p,
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double temp,
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double repeat_penalty);
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float top_p,
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float temp,
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float repeat_penalty);
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// Performance information
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LLAMA_API void llama_print_timings(struct llama_context * ctx);
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@ -150,4 +170,4 @@ extern "C" {
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}
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#endif
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#endif
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#endif // LLAMA_H
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12
examples/talk-llama/llama_internal.h
Normal file
12
examples/talk-llama/llama_internal.h
Normal file
@ -0,0 +1,12 @@
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// Internal header to be included by llama.cpp and tests/benchmarks only.
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#ifndef LLAMA_INTERNAL_H
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#define LLAMA_INTERNAL_H
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#include <vector>
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#include <string>
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struct ggml_tensor;
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std::vector<std::pair<std::string, struct ggml_tensor *>>& llama_internal_get_tensor_map(struct llama_context * ctx);
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#endif // LLAMA_INTERNAL_H
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383
examples/talk-llama/llama_util.h
Executable file
383
examples/talk-llama/llama_util.h
Executable file
@ -0,0 +1,383 @@
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// 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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#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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#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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#define NOMINMAX
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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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__attribute__((format(printf, 1, 2)))
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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 format("failed to open %s: %s", fname, std::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 size) {
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if (size == 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, size, 1, fp);
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if (ferror(fp)) {
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throw format("read error: %s", strerror(errno));
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}
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if (ret != 1) {
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throw 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 size) {
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if (size == 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, size, 1, fp);
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if (ret != 1) {
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throw 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) {
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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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close(fd);
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if (addr == MAP_FAILED) {
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throw format("mmap failed: %s", strerror(errno));
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}
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// Advise the kernel to preload the mapped memory
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if (madvise(addr, file->size, 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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~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) {
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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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CloseHandle(hFile);
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if (hMapping == NULL) {
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throw 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 format("MapViewOfFile failed: %s", llama_format_win_err(error).c_str());
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}
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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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~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 *) {
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throw 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 * addr) {
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LLAMA_ASSERT(this->addr == NULL && this->size == 0);
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this->addr = addr;
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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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fprintf(stderr, "warning: failed to mlock %zu-byte buffer (after previously locking %zu bytes): %s\n" MLOCK_SUGGESTION,
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size, this->size, std::strerror(errno));
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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 * addr, size_t size) {
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for (int tries = 1; ; tries++) {
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if (VirtualLock(addr, size)) {
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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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size, this->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 = size + 1048576;
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// The minimum must be <= the maximum, so we need to increase both:
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min_ws_size += size;
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max_ws_size += size;
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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 * addr, size_t size) {
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if (!VirtualUnlock(addr, size)) {
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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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void raw_lock(const void * addr, size_t size) {
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fprintf(stderr, "warning: mlock not supported on this system\n");
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}
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void raw_unlock(const void * addr, size_t size) {}
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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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void resize(size_t size) {
|
||||
delete[] addr;
|
||||
addr = new uint8_t[size];
|
||||
this->size = size;
|
||||
}
|
||||
|
||||
~llama_buffer() {
|
||||
delete[] addr;
|
||||
}
|
||||
};
|
||||
#endif
|
Loading…
Reference in New Issue
Block a user