// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include "paddle/fluid/pybind/global_value_getter_setter.h" #include #include #include #include #include #include #include #include "gflags/gflags.h" #include "paddle/fluid/framework/python_headers.h" #include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/errors.h" #include "paddle/fluid/platform/macros.h" #include "pybind11/stl.h" // FIXME(zengjinle): these 2 flags may be removed by the linker when compiling // CPU-only Paddle. It is because they are only used in // AutoGrowthBestFitAllocator, but AutoGrowthBestFitAllocator is not used // (in the translation unit level) when compiling CPU-only Paddle. I do not // want to add PADDLE_FORCE_LINK_FLAG, but I have not found any other methods // to solve this problem. PADDLE_FORCE_LINK_FLAG(free_idle_chunk); PADDLE_FORCE_LINK_FLAG(free_when_no_cache_hit); // debug DECLARE_bool(cpu_deterministic); // IR DECLARE_bool(convert_all_blocks); // executor DECLARE_bool(enable_parallel_graph); DECLARE_string(pe_profile_fname); DECLARE_string(print_sub_graph_dir); DECLARE_bool(new_executor_use_inplace); // memory management DECLARE_bool(eager_delete_scope); DECLARE_int32(fuse_parameter_groups_size); DECLARE_double(fuse_parameter_memory_size); // others DECLARE_int32(inner_op_parallelism); DECLARE_bool(enable_unused_var_check); // NOTE: where are these 2 flags from? #ifdef PADDLE_WITH_DISTRIBUTE DECLARE_int32(rpc_get_thread_num); DECLARE_int32(rpc_prefetch_thread_num); #endif namespace paddle { namespace pybind { namespace py = pybind11; class PYBIND11_HIDDEN GlobalVarGetterSetterRegistry { DISABLE_COPY_AND_ASSIGN(GlobalVarGetterSetterRegistry); GlobalVarGetterSetterRegistry() = default; public: using Getter = std::function; using Setter = std::function; template static Getter CreateGetter(const T &var) { return [&]() -> py::object { return py::cast(var); }; } template static Setter CreateSetter(T *var) { return [var](const py::object &obj) { *var = py::cast(obj); }; } private: struct VarInfo { VarInfo(bool is_public, const Getter &getter) : is_public(is_public), getter(getter) {} VarInfo(bool is_public, const Getter &getter, const Setter &setter) : is_public(is_public), getter(getter), setter(setter) {} const bool is_public; const Getter getter; const Setter setter; }; public: static const GlobalVarGetterSetterRegistry &Instance() { return instance_; } static GlobalVarGetterSetterRegistry *MutableInstance() { return &instance_; } void Register(const std::string &name, bool is_public, const Getter &getter) { PADDLE_ENFORCE_EQ( HasGetterMethod(name), false, platform::errors::AlreadyExists( "Getter of global variable %s has been registered", name)); PADDLE_ENFORCE_NOT_NULL(getter, platform::errors::InvalidArgument( "Getter of %s should not be null", name)); var_infos_.insert({name, VarInfo(is_public, getter)}); } void Register(const std::string &name, bool is_public, const Getter &getter, const Setter &setter) { PADDLE_ENFORCE_EQ( HasGetterMethod(name), false, platform::errors::AlreadyExists( "Getter of global variable %s has been registered", name)); PADDLE_ENFORCE_EQ( HasSetterMethod(name), false, platform::errors::AlreadyExists( "Setter of global variable %s has been registered", name)); PADDLE_ENFORCE_NOT_NULL(getter, platform::errors::InvalidArgument( "Getter of %s should not be null", name)); PADDLE_ENFORCE_NOT_NULL(setter, platform::errors::InvalidArgument( "Setter of %s should not be null", name)); var_infos_.insert({name, VarInfo(is_public, getter, setter)}); } const Getter &GetterMethod(const std::string &name) const { PADDLE_ENFORCE_EQ( HasGetterMethod(name), true, platform::errors::NotFound("Cannot find global variable %s", name)); return var_infos_.at(name).getter; } py::object GetOrReturnDefaultValue(const std::string &name, const py::object &default_value) const { if (HasGetterMethod(name)) { return GetterMethod(name)(); } else { return default_value; } } py::object Get(const std::string &name) const { return GetterMethod(name)(); } const Setter &SetterMethod(const std::string &name) const { PADDLE_ENFORCE_EQ( HasSetterMethod(name), true, platform::errors::NotFound("Global variable %s is not writable", name)); return var_infos_.at(name).setter; } void Set(const std::string &name, const py::object &value) const { SetterMethod(name)(value); } bool HasGetterMethod(const std::string &name) const { return var_infos_.count(name) > 0; } bool HasSetterMethod(const std::string &name) const { return var_infos_.count(name) > 0 && var_infos_.at(name).setter; } bool IsPublic(const std::string &name) const { return var_infos_.count(name) > 0 && var_infos_.at(name).is_public; } std::unordered_set Keys() const { std::unordered_set keys; keys.reserve(var_infos_.size()); for (auto &pair : var_infos_) { keys.insert(pair.first); } return keys; } private: static GlobalVarGetterSetterRegistry instance_; std::unordered_map var_infos_; }; GlobalVarGetterSetterRegistry GlobalVarGetterSetterRegistry::instance_; static void RegisterGlobalVarGetterSetter(); void BindGlobalValueGetterSetter(pybind11::module *module) { RegisterGlobalVarGetterSetter(); py::class_(*module, "GlobalVarGetterSetterRegistry") .def("__getitem__", &GlobalVarGetterSetterRegistry::Get) .def("__setitem__", &GlobalVarGetterSetterRegistry::Set) .def("__contains__", &GlobalVarGetterSetterRegistry::HasGetterMethod) .def("keys", &GlobalVarGetterSetterRegistry::Keys) .def("is_public", &GlobalVarGetterSetterRegistry::IsPublic) .def("get", &GlobalVarGetterSetterRegistry::GetOrReturnDefaultValue, py::arg("key"), py::arg("default") = py::cast(Py_None)); module->def("globals", &GlobalVarGetterSetterRegistry::Instance, py::return_value_policy::reference); } /* Public vars are designed to be writable. */ #define REGISTER_PUBLIC_GLOBAL_VAR(var) \ do { \ auto *instance = GlobalVarGetterSetterRegistry::MutableInstance(); \ instance->Register(#var, /*is_public=*/true, \ GlobalVarGetterSetterRegistry::CreateGetter(var), \ GlobalVarGetterSetterRegistry::CreateSetter(&var)); \ } while (0) struct RegisterGetterSetterVisitor : public boost::static_visitor { RegisterGetterSetterVisitor(const std::string &name, bool is_writable, void *value_ptr) : name_(name), is_writable_(is_writable), value_ptr_(value_ptr) {} template void operator()(const T &) const { auto &value = *static_cast(value_ptr_); auto *instance = GlobalVarGetterSetterRegistry::MutableInstance(); bool is_public = is_writable_; // currently, all writable vars are public if (is_writable_) { instance->Register(name_, is_public, GlobalVarGetterSetterRegistry::CreateGetter(value), GlobalVarGetterSetterRegistry::CreateSetter(&value)); } else { instance->Register(name_, is_public, GlobalVarGetterSetterRegistry::CreateGetter(value)); } } private: std::string name_; bool is_writable_; void *value_ptr_; }; static void RegisterGlobalVarGetterSetter() { REGISTER_PUBLIC_GLOBAL_VAR(FLAGS_cpu_deterministic); REGISTER_PUBLIC_GLOBAL_VAR(FLAGS_convert_all_blocks); REGISTER_PUBLIC_GLOBAL_VAR(FLAGS_enable_parallel_graph); REGISTER_PUBLIC_GLOBAL_VAR(FLAGS_pe_profile_fname); REGISTER_PUBLIC_GLOBAL_VAR(FLAGS_print_sub_graph_dir); REGISTER_PUBLIC_GLOBAL_VAR(FLAGS_new_executor_use_inplace); REGISTER_PUBLIC_GLOBAL_VAR(FLAGS_eager_delete_scope); REGISTER_PUBLIC_GLOBAL_VAR(FLAGS_fuse_parameter_groups_size); REGISTER_PUBLIC_GLOBAL_VAR(FLAGS_fuse_parameter_memory_size); REGISTER_PUBLIC_GLOBAL_VAR(FLAGS_inner_op_parallelism); REGISTER_PUBLIC_GLOBAL_VAR(FLAGS_enable_unused_var_check); #ifdef PADDLE_WITH_DITRIBUTE REGISTER_PUBLIC_GLOBAL_VAR(FLAGS_rpc_get_thread_num); REGISTER_PUBLIC_GLOBAL_VAR(FLAGS_rpc_prefetch_thread_num); #endif const auto &flag_map = platform::GetExportedFlagInfoMap(); for (const auto &pair : flag_map) { const std::string &name = pair.second.name; bool is_writable = pair.second.is_writable; void *value_ptr = pair.second.value_ptr; const auto &default_value = pair.second.default_value; RegisterGetterSetterVisitor visitor("FLAGS_" + name, is_writable, value_ptr); boost::apply_visitor(visitor, default_value); } } } // namespace pybind } // namespace paddle