Download tests/test-rpc-multi-server.cpp from Parakon/parakon-runtime: direct link, hf CLI and curl.
- Browser
- Download file 1.63 kB
-
https://huggingface.co/Parakon/parakon-runtime/resolve/main/tests/test-rpc-multi-server.cpp
- Command line
-
hf download hf://Parakon/parakon-runtime/tests/test-rpc-multi-server.cpp
-
curl -L -o test-rpc-multi-server.cpp https://huggingface.co/Parakon/parakon-runtime/resolve/main/tests/test-rpc-multi-server.cpp
1.63 kB
| int main(int argc, char ** argv) { | |
| GGML_ASSERT(argc == 3); | |
| ggml_backend_load_all(); | |
| const char * endpoint_a = argv[1]; | |
| const char * endpoint_b = argv[2]; | |
| ggml_backend_t backend_a = ggml_backend_rpc_init(endpoint_a, 0); | |
| ggml_backend_t backend_b = ggml_backend_rpc_init(endpoint_b, 0); | |
| GGML_ASSERT(backend_a != nullptr); | |
| GGML_ASSERT(backend_b != nullptr); | |
| ggml_init_params params = { | |
| /* .mem_size = */ ggml_tensor_overhead() + ggml_graph_overhead_custom(1, false), | |
| /* .mem_buffer = */ nullptr, | |
| /* .no_alloc = */ true, | |
| }; | |
| ggml_context * ctx = ggml_init(params); | |
| GGML_ASSERT(ctx != nullptr); | |
| ggml_tensor * tensor = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 1); | |
| ggml_backend_buffer_t buffer = ggml_backend_alloc_ctx_tensors(ctx, backend_a); | |
| GGML_ASSERT(buffer != nullptr); | |
| // A remote pointer allocated by server A is not meaningful to server B. | |
| ggml_cgraph * graph = ggml_new_graph_custom(ctx, 1, false); | |
| graph->nodes[0] = tensor; | |
| graph->n_nodes = 1; | |
| GGML_ASSERT(ggml_backend_graph_compute(backend_b, graph) == GGML_STATUS_SUCCESS); | |
| // Wait for server B to finish the graph before the script checks its log. | |
| size_t free_mem; | |
| size_t total_mem; | |
| ggml_backend_rpc_get_device_memory(endpoint_b, 0, &free_mem, &total_mem); | |
| GGML_ASSERT(total_mem > 0); | |
| ggml_backend_buffer_free(buffer); | |
| ggml_free(ctx); | |
| ggml_backend_free(backend_b); | |
| ggml_backend_free(backend_a); | |
| return 0; | |
| } | |