Address review comments
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5 changed files with 191 additions and 178 deletions
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@ -1,6 +1,6 @@
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## Overview
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The `rpc-server` allows running a `ggml` backend on a remote host.
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The `rpc-server` allows running `ggml` backend on a remote host.
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The RPC backend communicates with one or several instances of `rpc-server` and offloads computations to them.
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This can be used for distributed LLM inference with `llama.cpp` in the following way:
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@ -25,6 +25,7 @@ flowchart TD
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```
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Each host can run a different backend, e.g. one with CUDA and another with Metal.
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You can also run multiple `rpc-server` instances on the same host, each with a different backend.
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## Usage
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@ -35,7 +36,7 @@ For example, to build the CUDA backend with RPC support:
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mkdir build-rpc-cuda
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cd build-rpc-cuda
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cmake .. -DLLAMA_CUDA=ON -DLLAMA_RPC=ON
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make -j
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cmake --build . --config Release
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```
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Then, start the `rpc-server` with the backend:
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@ -50,13 +51,20 @@ ggml_cuda_init: found 1 CUDA devices:
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Starting RPC server on 0.0.0.0:50052
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```
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When using the CUDA backend, you can specify the device with the `CUDA_VISIBLE_DEVICES` environment variable, e.g.:
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```bash
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$ CUDA_VISIBLE_DEVICES=0 bin/rpc-server 0.0.0.0 50052
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```
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This way you can run multiple `rpc-server` instances on the same host, each with a different CUDA device.
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On the main host build `llama.cpp` only with `-DLLAMA_RPC=ON`:
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```bash
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mkdir build-rpc
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cd build-rpc
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cmake .. -DLLAMA_RPC=ON
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make -j
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cmake --build . --config Release
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```
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Finally, use the `--rpc` option to specify the host and port of each `rpc-server`:
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@ -7,19 +7,8 @@
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#endif
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#include "ggml-rpc.h"
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#include <memory>
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#include <string>
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#ifndef _WIN32
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# include <sys/socket.h>
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# include <sys/types.h>
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# include <arpa/inet.h>
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# include <netinet/in.h>
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# include <netinet/tcp.h>
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# include <netdb.h>
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# include <unistd.h>
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#endif
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#include <stdio.h>
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#include <stdlib.h>
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static ggml_backend_t create_backend() {
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ggml_backend_t backend = NULL;
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@ -55,91 +44,27 @@ static void get_backend_memory(size_t * free_mem, size_t * total_mem) {
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#endif
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}
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static std::shared_ptr<socket_t> make_socket(sockfd_t fd) {
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#ifdef _WIN32
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if (fd == INVALID_SOCKET) {
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return nullptr;
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}
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#else
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if (fd < 0) {
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return nullptr;
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}
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#endif
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return std::make_shared<socket_t>(fd);
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}
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static std::shared_ptr<socket_t> create_server_socket(const char * host, int port) {
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auto sockfd = socket(AF_INET, SOCK_STREAM, 0);
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auto sock = make_socket(sockfd);
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if (sock == nullptr) {
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return nullptr;
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}
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struct sockaddr_in serv_addr;
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serv_addr.sin_family = AF_INET;
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serv_addr.sin_addr.s_addr = inet_addr(host);
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serv_addr.sin_port = htons(port);
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if (bind(sockfd, (struct sockaddr *) &serv_addr, sizeof(serv_addr)) < 0) {
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return nullptr;
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}
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if (listen(sockfd, 5) < 0) {
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return nullptr;
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}
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return sock;
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}
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int main(int argc, char * argv[])
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{
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#ifdef _WIN32
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WSADATA wsaData;
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int res = WSAStartup(MAKEWORD(2, 2), &wsaData);
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if (res != 0) {
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fprintf(stderr, "WSAStartup failed: %d\n", res);
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return 1;
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}
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#endif
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if (argc < 3) {
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fprintf(stderr, "Usage: %s <host> <port>\n", argv[0]);
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return 1;
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}
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const char * host = argv[1];
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int port = std::stoi(argv[2]);
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if (port <= 0 || port > 65535) {
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fprintf(stderr, "Invalid port number: %d\n", port);
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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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printf("Starting RPC server on %s:%d\n", host, port);
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auto server_socket = create_server_socket(host, port);
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if (server_socket == nullptr) {
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fprintf(stderr, "Failed to create server socket\n");
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return 1;
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}
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while (true) {
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auto client_socket_fd = accept(server_socket->fd, NULL, NULL);
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auto client_socket = make_socket(client_socket_fd);
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if (client_socket == nullptr) {
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fprintf(stderr, "Failed to accept client connection\n");
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return 1;
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}
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// set TCP_NODELAY to disable Nagle's algorithm
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int flag = 1;
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int ret = setsockopt(client_socket->fd, IPPROTO_TCP, TCP_NODELAY, (char *) &flag, sizeof(int));
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if (ret < 0) {
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fprintf(stderr, "Failed to set TCP_NODELAY\n");
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continue;
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}
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size_t free_mem, total_mem;
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get_backend_memory(&free_mem, &total_mem);
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printf("Accepted client connection, free_mem=%zu, total_mem=%zu\n", free_mem, total_mem);
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rpc_serve_client(backend, client_socket->fd, free_mem, total_mem);
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printf("Client connection closed\n");
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}
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#ifdef _WIN32
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WSACleanup();
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#endif
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std::string endpoint = std::string(host) + ":" + std::to_string(port);
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start_rpc_server(backend, endpoint.c_str(), free_mem, total_mem);
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return 0;
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}
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193
ggml-rpc.cpp
193
ggml-rpc.cpp
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#include <string>
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#include <vector>
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#include <memory>
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#include <unordered_map>
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#include <unordered_set>
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#ifndef _WIN32
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#ifdef _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 <winsock2.h>
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#else
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# include <arpa/inet.h>
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# include <sys/socket.h>
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# include <sys/types.h>
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# include <netinet/in.h>
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#endif
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#ifdef _WIN32
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typedef SOCKET sockfd_t;
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using ssize_t = __int64;
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#else
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typedef int sockfd_t;
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#endif
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// cross-platform socket
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struct socket_t {
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sockfd_t fd;
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socket_t(sockfd_t fd) : fd(fd) {}
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~socket_t() {
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#ifdef _WIN32
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closesocket(this->fd);
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#else
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close(this->fd);
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#endif
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}
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};
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// ggml_tensor is serialized into rpc_tensor
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struct rpc_tensor {
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uint64_t id;
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uint32_t type;
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uint64_t buffer;
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uint32_t ne[GGML_MAX_DIMS];
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uint32_t nb[GGML_MAX_DIMS];
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uint32_t op;
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int32_t op_params[GGML_MAX_OP_PARAMS / sizeof(int32_t)];
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int32_t flags;
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uint64_t src[GGML_MAX_SRC];
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uint64_t view_src;
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uint64_t view_offs;
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uint64_t data;
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char name[GGML_MAX_NAME];
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};
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// RPC commands
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enum rpc_cmd {
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ALLOC_BUFFER = 0,
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GET_ALIGNMENT,
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GET_MAX_SIZE,
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BUFFER_GET_BASE,
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FREE_BUFFER,
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BUFFER_CLEAR,
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SET_TENSOR,
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GET_TENSOR,
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COPY_TENSOR,
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GRAPH_COMPUTE,
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GET_DEVICE_MEMORY,
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};
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// RPC data structures
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static ggml_guid_t ggml_backend_rpc_guid() {
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// RPC helper functions
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socket_t::~socket_t() {
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#ifdef _WIN32
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closesocket(this->fd);
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#else
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close(this->fd);
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#endif
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}
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static std::shared_ptr<socket_t> make_socket(sockfd_t fd) {
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#ifdef _WIN32
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if (fd == INVALID_SOCKET) {
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return std::make_shared<socket_t>(fd);
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}
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static bool set_no_delay(sockfd_t sockfd) {
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int flag = 1;
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// set TCP_NODELAY to disable Nagle's algorithm
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int ret = setsockopt(sockfd, IPPROTO_TCP, TCP_NODELAY, (char *)&flag, sizeof(int));
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return ret >= 0;
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}
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static std::shared_ptr<socket_t> socket_connect(const char * host, int port) {
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struct sockaddr_in addr;
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auto sockfd = socket(AF_INET, SOCK_STREAM, 0);
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if (sock_ptr == nullptr) {
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return nullptr;
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}
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// set TCP_NODELAY to disable Nagle's algorithm
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int flag = 1;
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int ret = setsockopt(sock_ptr->fd, IPPROTO_TCP, TCP_NODELAY, (char *)&flag, sizeof(int));
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if (ret < 0) {
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if (!set_no_delay(sockfd)) {
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fprintf(stderr, "Failed to set TCP_NODELAY\n");
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return nullptr;
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}
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addr.sin_family = AF_INET;
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return sock_ptr;
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}
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static std::shared_ptr<socket_t> socket_accept(sockfd_t srv_sockfd) {
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auto client_socket_fd = accept(srv_sockfd, NULL, NULL);
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auto client_socket = make_socket(client_socket_fd);
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if (client_socket == nullptr) {
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return nullptr;
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}
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if (!set_no_delay(client_socket_fd)) {
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fprintf(stderr, "Failed to set TCP_NODELAY\n");
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return nullptr;
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}
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return client_socket;
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}
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static std::shared_ptr<socket_t> create_server_socket(const char * host, int port) {
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auto sockfd = socket(AF_INET, SOCK_STREAM, 0);
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auto sock = make_socket(sockfd);
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if (sock == nullptr) {
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return nullptr;
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}
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struct sockaddr_in serv_addr;
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serv_addr.sin_family = AF_INET;
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serv_addr.sin_addr.s_addr = inet_addr(host);
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serv_addr.sin_port = htons(port);
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if (bind(sockfd, (struct sockaddr *) &serv_addr, sizeof(serv_addr)) < 0) {
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return nullptr;
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}
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if (listen(sockfd, 1) < 0) {
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return nullptr;
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}
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return sock;
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}
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static bool send_data(sockfd_t sockfd, const void * data, size_t size) {
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size_t bytes_sent = 0;
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while (bytes_sent < size) {
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return true;
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}
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static bool parse_endpoint(const char * endpoint, std::string & host, int & port) {
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std::string str(endpoint);
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size_t pos = str.find(':');
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if (pos == std::string::npos) {
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return false;
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}
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host = str.substr(0, pos);
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port = std::stoi(str.substr(pos + 1));
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return true;
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}
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// RPC request : | rpc_cmd (1 byte) | request_size (8 bytes) | request_data (request_size bytes) |
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// RPC response: | response_size (8 bytes) | response_data (response_size bytes) |
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static bool send_rpc_cmd(const std::shared_ptr<socket_t> & sock, enum rpc_cmd cmd, const std::vector<uint8_t> & input, std::vector<uint8_t> & output) {
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}
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result->flags = tensor->flags;
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result->data = reinterpret_cast<void *>(tensor->data);
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snprintf(result->name, GGML_MAX_NAME, "%s", tensor->name);
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ggml_set_name(result, tensor->name);
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return result;
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}
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GGML_CALL static void ggml_backend_rpc_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
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ggml_backend_rpc_buffer_context * ctx = (ggml_backend_rpc_buffer_context *)buffer->context;
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// input serialization format: | rpc_tensor | offset (8 bytes) | data (size bytes) |
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int input_size = sizeof(rpc_tensor) + sizeof(uint64_t) + size;
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size_t input_size = sizeof(rpc_tensor) + sizeof(uint64_t) + size;
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std::vector<uint8_t> input(input_size, 0);
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rpc_tensor rpc_tensor = serialize_tensor(tensor);
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memcpy(input.data(), &rpc_tensor, sizeof(rpc_tensor));
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static std::unordered_map<std::string, ggml_backend_t> instances;
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GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_rpc_buffer_type(const std::string & endpoint) {
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GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_rpc_buffer_type(const char * endpoint) {
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ggml_backend_t backend = ggml_backend_rpc_init(endpoint);
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return backend != nullptr ? ggml_backend_rpc_get_default_buffer_type(backend) : nullptr;
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}
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GGML_CALL ggml_backend_t ggml_backend_rpc_init(const std::string & endpoint) {
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if (instances.find(endpoint) != instances.end()) {
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return instances[endpoint];
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GGML_CALL ggml_backend_t ggml_backend_rpc_init(const char * endpoint) {
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std::string endpoint_str(endpoint);
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if (instances.find(endpoint_str) != instances.end()) {
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return instances[endpoint_str];
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}
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#ifdef _WIN32
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{
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}
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}
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#endif
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GGML_PRINT_DEBUG("Connecting to %s\n", endpoint.c_str());
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// split the endpoint into host and port
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size_t pos = endpoint.find(":");
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std::string host = endpoint.substr(0, pos);
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int port = std::stoi(endpoint.substr(pos + 1));
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GGML_PRINT_DEBUG("Connecting to %s\n", endpoint);
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std::string host;
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int port;
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if (!parse_endpoint(endpoint, host, port)) {
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return nullptr;
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}
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auto sock = socket_connect(host.c_str(), port);
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if (sock == nullptr) {
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return nullptr;
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@ -607,7 +708,7 @@ static void get_device_memory(const std::shared_ptr<socket_t> & sock, size_t * f
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*total = total_mem;
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}
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GGML_API GGML_CALL void ggml_backend_rpc_get_device_memory(const std::string & endpoint, size_t * free, size_t * total) {
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GGML_API GGML_CALL void ggml_backend_rpc_get_device_memory(const char * endpoint, size_t * free, size_t * total) {
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ggml_backend_t backend = ggml_backend_rpc_init(endpoint);
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if (backend == nullptr) {
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*free = 0;
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@ -781,7 +882,7 @@ static void rpc_graph_compute(ggml_backend_t backend, const std::vector<uint8_t>
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const rpc_tensor * tensors = (const rpc_tensor *)(input.data() + sizeof(n_nodes) + n_nodes*sizeof(uint64_t) + sizeof(n_tensors));
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GGML_PRINT_DEBUG("[%s] n_nodes: %u, n_tensors: %u\n", __func__, n_nodes, n_tensors);
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static size_t buf_size = ggml_tensor_overhead()*(n_nodes + n_tensors) + ggml_graph_overhead();
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static size_t buf_size = ggml_tensor_overhead()*(n_nodes + n_tensors) + ggml_graph_overhead_custom(n_nodes, false);
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struct ggml_init_params params = {
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/*.mem_size =*/ buf_size,
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/*.mem_buffer =*/ NULL,
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@ -805,7 +906,7 @@ static void rpc_graph_compute(ggml_backend_t backend, const std::vector<uint8_t>
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ggml_free(ctx);
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}
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void rpc_serve_client(ggml_backend_t backend, sockfd_t sockfd, size_t free_mem, size_t total_mem) {
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static void rpc_serve_client(ggml_backend_t backend, sockfd_t sockfd, size_t free_mem, size_t total_mem) {
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while (true) {
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uint8_t cmd;
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if (!recv_data(sockfd, &cmd, 1)) {
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||||
|
@ -871,7 +972,7 @@ void rpc_serve_client(ggml_backend_t backend, sockfd_t sockfd, size_t free_mem,
|
|||
}
|
||||
default: {
|
||||
fprintf(stderr, "Unknown command: %d\n", cmd);
|
||||
break;
|
||||
return;
|
||||
}
|
||||
}
|
||||
uint64_t output_size = output.size();
|
||||
|
@ -883,3 +984,39 @@ void rpc_serve_client(ggml_backend_t backend, sockfd_t sockfd, size_t free_mem,
|
|||
}
|
||||
}
|
||||
}
|
||||
|
||||
void start_rpc_server(ggml_backend_t backend, const char * endpoint, size_t free_mem, size_t total_mem) {
|
||||
std::string host;
|
||||
int port;
|
||||
if (!parse_endpoint(endpoint, host, port)) {
|
||||
return;
|
||||
}
|
||||
#ifdef _WIN32
|
||||
{
|
||||
WSADATA wsaData;
|
||||
int res = WSAStartup(MAKEWORD(2, 2), &wsaData);
|
||||
if (res != 0) {
|
||||
fprintf(stderr, "WSAStartup failed: %d\n", res);
|
||||
return 1;
|
||||
}
|
||||
}
|
||||
#endif
|
||||
auto server_socket = create_server_socket(host.c_str(), port);
|
||||
if (server_socket == nullptr) {
|
||||
fprintf(stderr, "Failed to create server socket\n");
|
||||
return;
|
||||
}
|
||||
while (true) {
|
||||
auto client_socket = socket_accept(server_socket->fd);
|
||||
if (client_socket == nullptr) {
|
||||
fprintf(stderr, "Failed to accept client connection\n");
|
||||
return;
|
||||
}
|
||||
printf("Accepted client connection, free_mem=%zu, total_mem=%zu\n", free_mem, total_mem);
|
||||
rpc_serve_client(backend, client_socket->fd, free_mem, total_mem);
|
||||
printf("Client connection closed\n");
|
||||
}
|
||||
#ifdef _WIN32
|
||||
WSACleanup();
|
||||
#endif
|
||||
}
|
||||
|
|
65
ggml-rpc.h
65
ggml-rpc.h
|
@ -2,79 +2,22 @@
|
|||
|
||||
#include "ggml.h"
|
||||
#include "ggml-backend.h"
|
||||
#include <string>
|
||||
#include <memory>
|
||||
#ifdef _WIN32
|
||||
# define WIN32_LEAN_AND_MEAN
|
||||
# ifndef NOMINMAX
|
||||
# define NOMINMAX
|
||||
# endif
|
||||
# include <windows.h>
|
||||
# include <winsock2.h>
|
||||
#endif
|
||||
|
||||
#ifdef __cplusplus
|
||||
extern "C" {
|
||||
#endif
|
||||
|
||||
// cross-platform socket fd
|
||||
#ifdef _WIN32
|
||||
typedef SOCKET sockfd_t;
|
||||
#else
|
||||
typedef int sockfd_t;
|
||||
#endif
|
||||
|
||||
// cross-platform socket
|
||||
struct socket_t {
|
||||
sockfd_t fd;
|
||||
socket_t(sockfd_t fd) : fd(fd) {}
|
||||
~socket_t();
|
||||
};
|
||||
|
||||
|
||||
// ggml_tensor is serialized into rpc_tensor
|
||||
struct rpc_tensor {
|
||||
uint64_t id;
|
||||
uint32_t type;
|
||||
uint64_t buffer;
|
||||
uint32_t ne[GGML_MAX_DIMS];
|
||||
uint32_t nb[GGML_MAX_DIMS];
|
||||
uint32_t op;
|
||||
int32_t op_params[GGML_MAX_OP_PARAMS / sizeof(int32_t)];
|
||||
int32_t flags;
|
||||
uint64_t src[GGML_MAX_SRC];
|
||||
uint64_t view_src;
|
||||
uint64_t view_offs;
|
||||
uint64_t data;
|
||||
char name[GGML_MAX_NAME];
|
||||
};
|
||||
|
||||
// RPC commands
|
||||
enum rpc_cmd {
|
||||
ALLOC_BUFFER = 0,
|
||||
GET_ALIGNMENT,
|
||||
GET_MAX_SIZE,
|
||||
BUFFER_GET_BASE,
|
||||
FREE_BUFFER,
|
||||
BUFFER_CLEAR,
|
||||
SET_TENSOR,
|
||||
GET_TENSOR,
|
||||
COPY_TENSOR,
|
||||
GRAPH_COMPUTE,
|
||||
GET_DEVICE_MEMORY,
|
||||
};
|
||||
|
||||
#define GGML_RPC_MAX_SERVERS 16
|
||||
|
||||
// backend API
|
||||
GGML_API GGML_CALL ggml_backend_t ggml_backend_rpc_init(const std::string & endpoint);
|
||||
GGML_API GGML_CALL ggml_backend_t ggml_backend_rpc_init(const char * endpoint);
|
||||
GGML_API GGML_CALL bool ggml_backend_is_rpc(ggml_backend_t backend);
|
||||
|
||||
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_rpc_buffer_type(const std::string & endpoint);
|
||||
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_rpc_buffer_type(const char * endpoint);
|
||||
|
||||
GGML_API GGML_CALL void ggml_backend_rpc_get_device_memory(const std::string & endpoint, size_t * free, size_t * total);
|
||||
GGML_API GGML_CALL void ggml_backend_rpc_get_device_memory(const char * endpoint, size_t * free, size_t * total);
|
||||
|
||||
GGML_API GGML_CALL void rpc_serve_client(ggml_backend_t backend, sockfd_t sockfd, size_t free_mem, size_t total_mem);
|
||||
GGML_API GGML_CALL void start_rpc_server(ggml_backend_t backend, const char * endpoint, size_t free_mem, size_t total_mem);
|
||||
|
||||
#ifdef __cplusplus
|
||||
}
|
||||
|
|
|
@ -2279,7 +2279,7 @@ static ggml_backend_buffer_type_t llama_default_buffer_type_offload(const llama_
|
|||
|
||||
#ifdef GGML_USE_RPC
|
||||
std::string endpoint = model.rpc_servers[gpu];
|
||||
buft = ggml_backend_rpc_buffer_type(endpoint);
|
||||
buft = ggml_backend_rpc_buffer_type(endpoint.c_str());
|
||||
#elif defined(GGML_USE_METAL)
|
||||
buft = ggml_backend_metal_buffer_type();
|
||||
#elif defined(GGML_USE_CUDA)
|
||||
|
@ -2348,7 +2348,7 @@ static size_t llama_get_device_memory(const llama_model & model, int device) {
|
|||
size_t total;
|
||||
size_t free;
|
||||
std::string endpoint = model.rpc_servers[device];
|
||||
ggml_backend_rpc_get_device_memory(endpoint, &free, &total);
|
||||
ggml_backend_rpc_get_device_memory(endpoint.c_str(), &free, &total);
|
||||
return free;
|
||||
#elif defined(GGML_USE_CUDA)
|
||||
size_t total;
|
||||
|
@ -15727,7 +15727,7 @@ struct llama_context * llama_new_context_with_model(
|
|||
// initialize backends
|
||||
#if defined(GGML_USE_RPC)
|
||||
for (auto & server : model->rpc_servers) {
|
||||
ggml_backend_t backend = ggml_backend_rpc_init(server);
|
||||
ggml_backend_t backend = ggml_backend_rpc_init(server.c_str());
|
||||
if (backend == nullptr) {
|
||||
LLAMA_LOG_ERROR("%s: failed to connect RPC backend to %s\n", __func__, server.c_str());
|
||||
llama_free(ctx);
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue