/* Copyright (c) 2018 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. */ #pragma once #include // for unique_ptr #include #include #include #include "paddle/fluid/operators/jit/gen_base.h" #include "paddle/fluid/operators/jit/kernel_base.h" #include "paddle/fluid/operators/jit/kernel_key.h" #include "paddle/fluid/operators/jit/kernel_pool.h" #include "paddle/fluid/platform/place.h" namespace paddle { namespace operators { namespace jit { #define SIGMOID_THRESHOLD_MIN -40.0 #define SIGMOID_THRESHOLD_MAX 13.0 #define EXP_MAX_INPUT 40.0 template inline Func GetJitCode(Attr attr) { size_t key = JitCodeKey(attr); auto& codes = JitCodePool().Instance(); if (codes.Has(key)) { return codes.AllKernels().at(key)->template getCode(); } // creator is not related with attr, so can use KernelKey as key KernelKey kkey(KT, PlaceType()); if (std::is_same::value) { // pool: (KernelKey(type, place), vector) auto& creator_map = JitCodeCreatorPool().Instance().AllCreators(); auto iter = creator_map.find(kkey); auto& creators = iter->second; for (auto& cur : creators) { auto i = dynamic_cast*>(cur.get()); if (i && i->UseMe(attr)) { auto p = i->CreateJitCode(attr); if (p) { auto f = p->template getCode(); codes.Insert(key, std::move(p)); return f; } } } } return nullptr; } // Refer code do not related with attr, which is just for cast // Refer is always on CPUPlace template inline Func GetRefer() { auto& ref_pool = ReferKernelPool().Instance().AllKernels(); KernelKey kkey(KT, platform::CPUPlace()); auto ref_iter = ref_pool.find(kkey); PADDLE_ENFORCE(ref_iter != ref_pool.end(), "Every Kernel should have reference function."); auto& ref_impls = ref_iter->second; for (auto& impl : ref_impls) { auto i = dynamic_cast*>(impl.get()); if (i) { return i->GetFunc(); } } return nullptr; } template Func Get(Attr attr) { auto jitfunc = GetJitCode(attr); if (jitfunc) { return jitfunc; } // pool: (KernelKey(type, place), vector) KernelKey kkey(KT, PlaceType()); auto& pool = KernelPool().Instance().AllKernels(); auto iter = pool.find(kkey); if (iter != pool.end()) { auto& impls = iter->second; for (auto& impl : impls) { auto i = dynamic_cast*>(impl.get()); if (i && i->UseMe(attr)) { return i->GetFunc(); } } } // The last implementation should be reference function on CPUPlace. return GetRefer(); } } // namespace jit } // namespace operators } // namespace paddle