mpi : add support for distributed inference via MPI (#2099)

* MPI support, first cut

* fix warnings, update README

* fixes

* wrap includes

* PR comments

* Update CMakeLists.txt

* Add GH workflow, fix test

* Add info to README

* mpi : trying to move more MPI stuff into ggml-mpi (WIP) (#2099)

* mpi : add names for layer inputs + prep ggml_mpi_graph_compute()

* mpi : move all MPI logic into ggml-mpi

Not tested yet

* mpi : various fixes - communication now works but results are wrong

* mpi : fix output tensor after MPI compute (still not working)

* mpi : fix inference

* mpi : minor

* Add OpenMPI to GH action

* [mpi] continue-on-error: true

* mpi : fix after master merge

* [mpi] Link MPI C++ libraries to fix OpenMPI

* tests : fix new llama_backend API

* [mpi] use MPI_INT32_T

* mpi : factor out recv / send in functions and reuse

* mpi : extend API to allow usage with outer backends (e.g. Metal)

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This commit is contained in:
Evan Miller 2023-07-10 11:49:56 -04:00 committed by GitHub
parent 1d16309969
commit 5656d10599
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
18 changed files with 460 additions and 35 deletions

View file

@ -34,7 +34,7 @@ struct MyModel* create_mymodel(int argc, char ** argv) {
}
fprintf(stderr, "%s: seed = %d\n", __func__, params.seed);
llama_init_backend(params.numa);
llama_backend_init(params.numa);
llama_model * model;
llama_context * ctx;

View file

@ -35,7 +35,7 @@ int main(int argc, char ** argv) {
params.prompt = gpt_random_prompt(rng);
}
llama_init_backend(params.numa);
llama_backend_init(params.numa);
llama_model * model;
llama_context * ctx;
@ -93,5 +93,7 @@ int main(int argc, char ** argv) {
llama_free(ctx);
llama_free_model(model);
llama_backend_free();
return 0;
}

View file

@ -105,7 +105,7 @@ int main(int argc, char ** argv) {
params.prompt = gpt_random_prompt(rng);
}
llama_init_backend(params.numa);
llama_backend_init(params.numa);
llama_model * model;
llama_context * ctx;
@ -671,5 +671,7 @@ int main(int argc, char ** argv) {
llama_free(ctx);
llama_free_model(model);
llama_backend_free();
return 0;
}

View file

@ -147,7 +147,7 @@ int main(int argc, char ** argv) {
params.prompt = gpt_random_prompt(rng);
}
llama_init_backend(params.numa);
llama_backend_init(params.numa);
llama_model * model;
llama_context * ctx;
@ -172,5 +172,7 @@ int main(int argc, char ** argv) {
llama_free(ctx);
llama_free_model(model);
llama_backend_free();
return 0;
}

View file

@ -180,7 +180,7 @@ int main(int argc, char ** argv) {
usage(argv[0]);
}
llama_init_backend(false);
llama_backend_init(false);
// parse command line arguments
const std::string fname_inp = argv[arg_idx];
@ -257,5 +257,7 @@ int main(int argc, char ** argv) {
printf("%s: total time = %8.2f ms\n", __func__, (t_main_end_us - t_main_start_us)/1000.0);
}
llama_backend_free();
return 0;
}

View file

@ -1079,7 +1079,7 @@ int main(int argc, char **argv)
params.model_alias = params.model;
}
llama_init_backend(params.numa);
llama_backend_init(params.numa);
LOG_INFO("build info", {{"build", BUILD_NUMBER},
{"commit", BUILD_COMMIT}});
@ -1309,5 +1309,7 @@ int main(int argc, char **argv)
return 1;
}
llama_backend_free();
return 0;
}

View file

@ -66,7 +66,7 @@ int main(int argc, char ** argv)
// Init LLM :
//---------------------------------
llama_init_backend(params.numa);
llama_backend_init(params.numa);
llama_model * model;
llama_context * ctx;
@ -173,6 +173,8 @@ int main(int argc, char ** argv)
llama_free( ctx );
llama_free_model( model );
llama_backend_free();
return 0;
}