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/**
* \file python_module/src/cpp/megbrain_config.cpp
*
* This file is part of MegBrain, a deep learning framework developed by Megvii.
*
* \copyright Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
*
*/
#include "./megbrain_config.h"
#include "./python_helper.h"
#include "megbrain/graph/event.h"
#include "megbrain/utils/debug.h"
#include "megbrain/comp_node_env.h"
#include "megbrain/serialization/opr_registry.h"
#include <set>
#include <dlfcn.h>
#if MGB_ENABLE_OPR_MM
#include "megbrain/opr/mm_handler.h"
#endif
#if MGB_CUDA
#include <cuda.h>
#endif
using namespace mgb;
namespace {
std::unordered_map<ComputingGraph*,
SyncEventConnecter::ReceiverHandler>
set_priority_on_opr_inserted_handle;
std::mutex set_priority_on_opr_inserted_handle_mtx;
} // anonymous namespace
bool _config::set_comp_graph_option(
CompGraph &cg, const std::string &name, int val_int) {
#define SET_CG_OPTION(name_chk) \
do { \
static_assert( \
std::is_same<decltype(opt.name_chk), bool>::value || \
std::is_same<decltype(opt.name_chk), uint8_t>::value || \
std::is_same<decltype(opt.name_chk), int16_t>::value || \
std::is_same<decltype(opt.name_chk), uint16_t>::value || \
std::is_same<decltype(opt.name_chk), int32_t>::value, \
"not bool/int opt"); \
if (name == #name_chk) { \
auto ret = opt.name_chk; \
opt.name_chk = val_int; \
return ret; \
} \
} while(0)
auto &&opt = cg.get().options();
SET_CG_OPTION(seq_opt.enable_mem_plan_opt);
SET_CG_OPTION(seq_opt.enable_mem_reuse_alloc);
SET_CG_OPTION(seq_opt.enable_seq_comp_node_opt);
SET_CG_OPTION(force_dynamic_alloc);
SET_CG_OPTION(enable_grad_var_static_reshape);
SET_CG_OPTION(async_exec_level);
SET_CG_OPTION(graph_opt.jit);
SET_CG_OPTION(graph_opt.tensorrt);
SET_CG_OPTION(graph_opt_level);
SET_CG_OPTION(allreduce_pack_max_size);
SET_CG_OPTION(allreduce_pack_ignore_first);
SET_CG_OPTION(var_sanity_check_first_run);
SET_CG_OPTION(no_profiling_on_shape_change);
SET_CG_OPTION(allocate_static_mem_after_graph_compile);
SET_CG_OPTION(log_level);
SET_CG_OPTION(enable_sublinear_memory_opt);
SET_CG_OPTION(sublinear_mem_cofig.lb_memory);
SET_CG_OPTION(sublinear_mem_cofig.genetic_nr_iter);
SET_CG_OPTION(sublinear_mem_cofig.genetic_pool_size);
SET_CG_OPTION(sublinear_mem_cofig.thresh_nr_try);
SET_CG_OPTION(sublinear_mem_cofig.num_worker);
SET_CG_OPTION(enable_var_mem_defragment);
SET_CG_OPTION(eager_evaluation);
SET_CG_OPTION(enable_memory_swap);
throw MegBrainError(ssprintf(
"invalid computing graph option name: %s", name.c_str()));
#undef SET_CG_OPTION
}
bool _config::comp_graph_is_eager(CompGraph &cg) {
return cg.get().options().eager_evaluation;
}
void _config::add_extra_vardep(const SymbolVar &var, const SymbolVar &dep) {
auto og = var.node()->owner_graph();
mgb_assert(og == dep.node()->owner_graph());
og->options().extra_vardeps[var.node()].push_back(dep.node());
}
void _config::begin_set_opr_priority(CompGraph& cg, int priority) {
SyncEventConnecter::ReceiverHandler* handle;
{
MGB_LOCK_GUARD(set_priority_on_opr_inserted_handle_mtx);
handle = &set_priority_on_opr_inserted_handle[&cg.get()];
}
mgb_assert(!*handle, "multiple calls to _begin_set_opr_priority()");
auto on_opr_inserted = [priority](const cg::event::OprInserted& event) {
if (!event.exc && priority) {
int& pri = event.opr->node_prop().attribute().priority;
if (!pri)
pri = priority;
else
pri = std::min(pri, priority);
}
};
*handle = cg.get().event().register_receiver<cg::event::OprInserted>(
on_opr_inserted);
}
void _config::end_set_opr_priority(CompGraph &cg) {
MGB_LOCK_GUARD(set_priority_on_opr_inserted_handle_mtx);
auto nr = set_priority_on_opr_inserted_handle.erase(&cg.get());
mgb_assert(nr, "end_set_opr_priority called "
"before begin_set_opr_priority");
}
void _config::begin_set_exc_opr_tracker(CompGraph &cg, PyObject *tracker) {
OprPyTracker::begin_set_tracker(cg.get(), tracker);
}
void _config::end_set_exc_opr_tracker(CompGraph &cg) {
OprPyTracker::end_set_tracker(cg.get());
}
PyObject* _config::get_opr_tracker(CompGraph &cg, size_t var_id) {
auto var = cg.get().find_var_by_id(var_id);
if (!var)
Py_RETURN_NONE;
return OprPyTracker::get_tracker(var->owner_opr()).as_tuple();
}
void _config::set_opr_sublinear_memory_endpoint(const SymbolVar &var) {
MGB_MARK_USED_VAR(var);
#if MGB_ENABLE_SUBLINEAR
auto opr = var.node()->owner_opr();
opr->owner_graph()->options().opr_attribute.sublinear_memory_endpoint.
insert(opr);
#endif
}
void _config::set_fork_cuda_warning_flag(int flag) {
#if MGB_ENABLE_DEBUG_UTIL
debug::set_fork_cuda_warning_flag(flag);
#else
MGB_MARK_USED_VAR(flag);
#endif
}
bool _config::is_cuda_ctx_set() {
#if MGB_CUDA
CUcontext ctx;
return cuCtxGetCurrent(&ctx) == CUDA_SUCCESS && ctx;
#else
return false;
#endif
}
std::string _config::get_cuda_gencode() {
#if MGB_CUDA
std::set<std::string> used;
int nr_dev;
auto err = cudaGetDeviceCount(&nr_dev);
if (err == cudaErrorNoDevice) {
return {};
}
MGB_CUDA_CHECK(err);
for (int i = 0; i < nr_dev; ++ i) {
cudaDeviceProp prop;
MGB_CUDA_CHECK(cudaGetDeviceProperties(&prop, i));
std::string cur{std::to_string(prop.major)};
cur += std::to_string(prop.minor);
used.insert(cur);
}
std::string ret;
for (auto &&i: used) {
if (!ret.empty())
ret.append(" ");
ret.append(i);
}
return ret;
#else
mgb_throw(MegBrainError, "cuda disabled at compile time");
#endif
}
namespace {
#if MGB_CUDA
std::string get_loaded_shared_lib_path(const char* sl_name) {
char path[PATH_MAX];
auto handle = dlopen(sl_name,
RTLD_GLOBAL | RTLD_LAZY | RTLD_NOLOAD);
mgb_assert(handle != nullptr, "%s", dlerror());
mgb_assert(dlinfo(handle, RTLD_DI_ORIGIN, &path) != -1,
"%s", dlerror());
return path;
}
#endif
}
std::vector<std::string> _config::get_cuda_include_path() {
#if MGB_CUDA
auto cuda_path = getenv("CUDA_BIN_PATH");
if (cuda_path) {
return std::vector<std::string>{cuda_path,
std::string(cuda_path) + "/include"};
} else {
auto cuda_lib_path = get_loaded_shared_lib_path("libcudart.so");
return {cuda_lib_path, cuda_lib_path + "/../",
cuda_lib_path + "/../include"};
}
#else
mgb_throw(MegBrainError, "cuda disabled at compile time");
#endif
}
std::vector<std::string> _config::get_cuda_lib_path() {
#if MGB_CUDA
auto cuda_path = getenv("CUDA_BIN_PATH");
if (cuda_path) {
return std::vector<std::string>{cuda_path,
std::string(cuda_path) + "/lib64"};
} else {
auto cuda_lib_path = get_loaded_shared_lib_path("libcudart.so");
return {cuda_lib_path};
}
#else
mgb_throw(MegBrainError, "cuda disabled at compile time");
#endif
}
int _config::get_cuda_version() {
#if MGB_CUDA
int version;
MGB_CUDA_CHECK(cudaRuntimeGetVersion(&version));
return version;
#else
mgb_throw(MegBrainError, "cuda disabled at compile time");
#endif
}
bool _config::is_compiled_with_cuda() {
#if MGB_CUDA
return true;
#else
return false;
#endif
}
void _config::load_opr_library(const char* self_path, const char* lib_path) {
static bool self_global = false;
static std::mutex self_global_mtx;
{
MGB_LOCK_GUARD(self_global_mtx);
if (!self_global) {
auto hdl = dlopen(self_path, RTLD_LAZY | RTLD_GLOBAL);
mgb_assert(hdl, "failed to set mgb to global: %s", dlerror());
self_global = true;
}
}
if (lib_path) {
auto hdl = dlopen(lib_path, RTLD_LAZY);
mgb_assert(hdl, "failed to load libray %s: %s", lib_path, dlerror());
}
}
std::vector<std::pair<unsigned long int, std::string>>
_config::dump_registered_oprs() {
#if MGB_ENABLE_DEBUG_UTIL
return serialization::OprRegistry::dump_registries();
#else
return {};
#endif
}
#if MGB_ENABLE_OPR_MM
/*! see definition : src/cpp/megbrain_config.h.
* Create mm server. port 0 is permitted, leave zmqrpc to decide which port
* should be used.
*/
int _config::create_mm_server(const std::string& server_addr, int port) {
return create_zmqrpc_server(server_addr, port);
}
void _config::group_barrier(const std::string& server_addr,
int port, uint32_t size, uint32_t rank) {
mgb_assert(rank < size, "invalid rank %d", rank);
auto group_mgr = std::make_shared<GroupClientProxy>(
ssprintf("%s:%d", server_addr.c_str(), port));
uint32_t rsp = group_mgr->group_barrier(size, rank);
mgb_assert(rsp != 0, "rank already registered: %d", rank);
mgb_assert(size == rsp, "inconsistent size: %d, expect %d", size, rsp);
}
#else
int _config::create_mm_server(const std::string& server_addr, int port) {
mgb_throw(mgb::MegBrainError, "OPR_MM suppport disable at compile time");
return 0;
}
void _config::group_barrier(const std::string& server_addr,
int port, uint32_t size, uint32_t rank) {
mgb_throw(mgb::MegBrainError, "OPR_MM suppport disable at compile time");
}
#endif
// vim: syntax=cpp.doxygen foldmethod=marker foldmarker=f{{{,f}}}