mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-11-11 21:39:52 +00:00
fe1e3917cf
This reverts commit 9422c5e34b
.
135 lines
4.1 KiB
C++
135 lines
4.1 KiB
C++
#ifdef GGML_USE_CUDA
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#include "ggml-cuda.h"
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#endif
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#ifdef GGML_USE_METAL
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#include "ggml-metal.h"
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#endif
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#include "ggml-rpc.h"
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#ifdef _WIN32
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# include <windows.h>
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#else
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# include <unistd.h>
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#endif
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#include <string>
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#include <stdio.h>
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struct rpc_server_params {
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std::string host = "0.0.0.0";
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int port = 50052;
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size_t backend_mem = 0;
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};
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static void print_usage(int /*argc*/, char ** argv, rpc_server_params params) {
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fprintf(stderr, "Usage: %s [options]\n\n", argv[0]);
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fprintf(stderr, "options:\n");
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fprintf(stderr, " -h, --help show this help message and exit\n");
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fprintf(stderr, " -H HOST, --host HOST host to bind to (default: %s)\n", params.host.c_str());
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fprintf(stderr, " -p PORT, --port PORT port to bind to (default: %d)\n", params.port);
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fprintf(stderr, " -m MEM, --mem MEM backend memory size (in MB)\n");
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fprintf(stderr, "\n");
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}
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static bool rpc_server_params_parse(int argc, char ** argv, rpc_server_params & params) {
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std::string arg;
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for (int i = 1; i < argc; i++) {
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arg = argv[i];
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if (arg == "-H" || arg == "--host") {
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if (++i >= argc) {
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return false;
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}
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params.host = argv[i];
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} else if (arg == "-p" || arg == "--port") {
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if (++i >= argc) {
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return false;
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}
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params.port = std::stoi(argv[i]);
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if (params.port <= 0 || params.port > 65535) {
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return false;
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}
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} else if (arg == "-m" || arg == "--mem") {
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if (++i >= argc) {
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return false;
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}
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params.backend_mem = std::stoul(argv[i]) * 1024 * 1024;
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} else if (arg == "-h" || arg == "--help") {
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print_usage(argc, argv, params);
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exit(0);
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} else {
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fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
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print_usage(argc, argv, params);
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exit(0);
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}
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}
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return true;
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}
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static ggml_backend_t create_backend() {
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ggml_backend_t backend = NULL;
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#ifdef GGML_USE_CUDA
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fprintf(stderr, "%s: using CUDA backend\n", __func__);
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backend = ggml_backend_cuda_init(0); // init device 0
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if (!backend) {
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fprintf(stderr, "%s: ggml_backend_cuda_init() failed\n", __func__);
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}
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#elif GGML_USE_METAL
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fprintf(stderr, "%s: using Metal backend\n", __func__);
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backend = ggml_backend_metal_init();
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if (!backend) {
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fprintf(stderr, "%s: ggml_backend_metal_init() failed\n", __func__);
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}
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#endif
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// if there aren't GPU Backends fallback to CPU backend
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if (!backend) {
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fprintf(stderr, "%s: using CPU backend\n", __func__);
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backend = ggml_backend_cpu_init();
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}
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return backend;
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}
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static void get_backend_memory(size_t * free_mem, size_t * total_mem) {
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#ifdef GGML_USE_CUDA
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ggml_backend_cuda_get_device_memory(0, free_mem, total_mem);
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#else
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#ifdef _WIN32
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MEMORYSTATUSEX status;
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status.dwLength = sizeof(status);
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GlobalMemoryStatusEx(&status);
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*total_mem = status.ullTotalPhys;
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*free_mem = status.ullAvailPhys;
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#else
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long pages = sysconf(_SC_PHYS_PAGES);
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long page_size = sysconf(_SC_PAGE_SIZE);
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*total_mem = pages * page_size;
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*free_mem = *total_mem;
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#endif
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#endif
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}
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int main(int argc, char * argv[]) {
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rpc_server_params params;
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if (!rpc_server_params_parse(argc, argv, params)) {
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fprintf(stderr, "Invalid parameters\n");
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return 1;
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}
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ggml_backend_t backend = create_backend();
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if (!backend) {
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fprintf(stderr, "Failed to create backend\n");
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return 1;
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}
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std::string endpoint = params.host + ":" + std::to_string(params.port);
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size_t free_mem, total_mem;
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if (params.backend_mem > 0) {
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free_mem = params.backend_mem;
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total_mem = params.backend_mem;
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} else {
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get_backend_memory(&free_mem, &total_mem);
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}
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printf("Starting RPC server on %s, backend memory: %zu MB\n", endpoint.c_str(), free_mem / (1024 * 1024));
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start_rpc_server(backend, endpoint.c_str(), free_mem, total_mem);
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ggml_backend_free(backend);
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return 0;
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}
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