helper.h

/* 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 <memory>  // for unique_ptr
#include <string>
#include <unordered_map>
#include <vector>
#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 <KernelType KT, typename KernelTuples, typename PlaceType>
inline typename KernelTuples::func_type GetJitCode(
    typename KernelTuples::attr_type attr) {
  using Func = typename KernelTuples::func_type;
  using Attr = typename KernelTuples::attr_type;
  size_t key = JitCodeKey<Attr>(attr);
  auto& codes = JitCodePool<KT>().Instance();
  if (codes.Has(key)) {
    return codes.AllKernels().at(key)->template getCode<Func>();
  }

  // creator is not related with attr, so can use KernelKey as key
  KernelKey kkey(KT, PlaceType());
  if (std::is_same<PlaceType, platform::CPUPlace>::value) {
    // pool: (KernelKey(type, place), vector<GenCreatorPtr>)
    auto& creator_map = JitCodeCreatorPool().Instance().AllCreators();
    auto iter = creator_map.find(kkey);
    if (iter != creator_map.end()) {
      auto& creators = iter->second;
      for (auto& cur : creators) {
        auto i = dynamic_cast<const JitCodeCreator<Attr>*>(cur.get());
        if (i && i->UseMe(attr)) {
          auto p = i->CreateJitCode(attr);
          if (p) {
            auto f = p->template getCode<Func>();
            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 <KernelType KT, typename KernelTuples>
inline typename KernelTuples::func_type 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<const ReferKernel<KernelTuples>*>(impl.get());
    if (i) {
      return i->GetFunc();
    }
  }
  return nullptr;
}

template <KernelType KT, typename KernelTuples,
          typename PlaceType = platform::CPUPlace>
typename KernelTuples::func_type Get(typename KernelTuples::attr_type attr) {
  auto jitfunc = GetJitCode<KT, KernelTuples, PlaceType>(attr);
  if (jitfunc) {
    return jitfunc;
  }

  // pool: (KernelKey(type, place), vector<KernelPtr>)
  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<const KernelImpl<KernelTuples>*>(impl.get());
      if (i && i->UseMe(attr)) {
        return i->GetFunc();
      }
    }
  }

  // The last implementation should be reference function on CPUPlace.
  return GetRefer<KT, KernelTuples>();
}

const char* to_string(KernelType kt);

}  // namespace jit
}  // namespace operators
}  // namespace paddle