/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.

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 <algorithm>
#include <atomic>
#include <type_traits>
#include <unordered_map>
#include <unordered_set>
#include "paddle/framework/attribute.h"
#include "paddle/framework/framework.pb.h"
#include "paddle/framework/grad_op_builder.h"
#include "paddle/framework/operator.h"
#include "paddle/framework/scope.h"

namespace paddle {
namespace framework {

// this class not only make proto but also init attribute checkers.
class OpProtoAndCheckerMaker {
 public:
  OpProtoAndCheckerMaker(OpProto* proto, OpAttrChecker* op_checker)
      : proto_(proto), op_checker_(op_checker) {}

  ~OpProtoAndCheckerMaker() {
    PADDLE_ENFORCE(validated_, "should call Validate after build");
  }

  void Validate() {
    validated_ = true;
    CheckNoDuplicatedInOutAttrs();
  }

 protected:
  struct VariableBuilder {
    OpProto::Var* var_;

    VariableBuilder& SetDuplicable() {
      var_->set_duplicable(true);
      return *this;
    }

    VariableBuilder& SetIntermediate() {
      var_->set_intermediate(true);
      return *this;
    }

    VariableBuilder& NoGradient() {
      var_->set_no_gradient(true);
      return *this;
    }
  };

  VariableBuilder AddInput(const std::string& name,
                           const std::string& comment) {
    auto* input = proto_->add_inputs();
    input->set_name(name);
    input->set_comment(comment);
    return VariableBuilder{input};
  }

  VariableBuilder AddOutput(const std::string& name,
                            const std::string& comment) {
    auto* output = proto_->add_outputs();
    output->set_name(name);
    output->set_comment(comment);
    return VariableBuilder{output};
  }

  template <typename T>
  TypedAttrChecker<T>& AddAttr(const std::string& name,
                               const std::string& comment,
                               bool generated = false) {
    auto* attr = proto_->add_attrs();
    attr->set_name(name);
    attr->set_comment(comment);
    attr->set_generated(generated);
    attr->set_type(AttrTypeID<T>());
    return op_checker_->AddAttrChecker<T>(name);
  }

  void AddComment(const std::string& comment) { proto_->set_comment(comment); }

 private:
  void CheckNoDuplicatedInOutAttrs() {
    std::unordered_set<std::string> names;
    auto checker = [&](const std::string& name) {
      PADDLE_ENFORCE(!names.count(name), "[%s] is duplicated", name);
      names.insert(name);
    };
    for (auto& attr : proto_->attrs()) {
      checker(attr.name());
    }
    for (auto& input : proto_->inputs()) {
      checker(input.name());
    }
    for (auto& output : proto_->outputs()) {
      checker(output.name());
    }
  }

  OpProto* proto_;
  OpAttrChecker* op_checker_;
  bool validated_{false};
};

class OpRegistry {
  using OpCreator = std::function<OperatorBase*()>;
  using VarNameMap = OperatorBase::VarNameMap;

 public:
  template <typename OpType, typename ProtoMakerType>
  static void RegisterOp(const std::string& op_type) {
    op_creators()[op_type] = [] { return new OpType; };
    OpAttrChecker& op_checker = op_checkers()[op_type];
    OpProto& op_proto = OpProtos()[op_type];
    auto maker = ProtoMakerType(&op_proto, &op_checker);
    maker.Validate();
    op_proto.set_type(op_type);
    PADDLE_ENFORCE(
        op_proto.IsInitialized(),
        "Fail to initialize %s's OpProto, because %s is not initialized",
        op_type, op_proto.InitializationErrorString());
  }

  template <typename GradOpType>
  static void RegisterGradOp(const std::string& op_type,
                             const std::string& grad_op_type) {
    op_creators()[grad_op_type] = [] { return new GradOpType; };
    grad_ops()[op_type] = grad_op_type;
  }

  static std::shared_ptr<OperatorBase> CreateOp(const std::string& type,
                                                const VarNameMap& inputs,
                                                const VarNameMap& outputs,
                                                const AttributeMap& attrs) {
    auto op_create_it = op_creators().find(type);
    PADDLE_ENFORCE(op_create_it != op_creators().end(),
                   "Operator %s cannot be found.", type);

    auto op = op_create_it->second();
    op->type_ = type;
    op->inputs_ = inputs;
    op->outputs_ = outputs;

    op->attrs_ = attrs;
    op_checkers().at(type).Check(op->attrs_);

    GenerateTempVariableName(op);

    op->Init();
    return std::shared_ptr<OperatorBase>(op);
  }

  static VarNameMap ConvertOpDescVarsToVarNameMap(
      const google::protobuf::RepeatedPtrField<OpDesc::Var>& op_desc_vars) {
    VarNameMap ret_val;
    for (auto& var : op_desc_vars) {
      auto& var_names = ret_val[var.parameter()];
      auto& var_names_in_proto = var.arguments();
      var_names.reserve(static_cast<size_t>(var_names_in_proto.size()));
      std::copy(var_names_in_proto.begin(), var_names_in_proto.end(),
                std::back_inserter(var_names));
    }
    return ret_val;
  }

  static std::shared_ptr<OperatorBase> CreateOp(const OpDesc& op_desc) {
    VarNameMap inputs = ConvertOpDescVarsToVarNameMap(op_desc.inputs());
    VarNameMap outputs = ConvertOpDescVarsToVarNameMap(op_desc.outputs());
    AttributeMap attrs;
    for (auto& attr : op_desc.attrs()) {
      attrs[attr.name()] = GetAttrValue(attr);
    }

    return CreateOp(op_desc.type(), inputs, outputs, attrs);
  }

  static std::shared_ptr<OperatorBase> CreateGradOp(const OperatorBase& op) {
    PADDLE_ENFORCE(!op.IsNetOp(),
                   "Use framework::Backward to get backward ops");
    std::shared_ptr<OperatorBase> grad_op(BuildGradOp(&op));
    grad_op->Init();
    return grad_op;
  }

  static std::unordered_map<std::string, std::string>& grad_ops() {
    static std::unordered_map<std::string, std::string> grad_ops_;
    return grad_ops_;
  }

  static std::unordered_map<std::string, OpCreator>& op_creators() {
    static std::unordered_map<std::string, OpCreator> op_creators_;
    return op_creators_;
  }

 private:
  static std::unordered_map<std::string, OpAttrChecker>& op_checkers() {
    static std::unordered_map<std::string, OpAttrChecker> op_checkers_;
    return op_checkers_;
  }

  static void GenerateTempVariableName(OperatorBase* op) {
    static std::atomic<size_t> gUniqId(0UL);
    for (auto& output : op->outputs_) {
      for (auto& output_name : output.second) {
        if (output_name == kTempVarName) {
          output_name += op->type_;
          output_name += "@";
          output_name += std::to_string(gUniqId.fetch_add(1));
        }
      }
    }
  }
};

class Registrar {
 public:
  // In our design, various kinds of classes, e.g., operators and kernels, have
  // their corresponding registry and registrar. The action of registration is
  // in the constructor of a global registrar variable, which, however, are not
  // used in the code that calls package framework, and would be removed from
  // the generated binary file by the linker. To avoid such removal, we add
  // Touch to all registrar classes and make USE_OP macros to call this
  // method. So, as long as the callee code calls USE_OP, the global
  // registrar variable won't be removed by the linker.
  void Touch() {}
};

template <typename OpType, typename ProtoMakerType>
class OpRegistrar : public Registrar {
 public:
  explicit OpRegistrar(const char* op_type) {
    OpRegistry::RegisterOp<OpType, ProtoMakerType>(op_type);
  }
};

template <typename GradOpType>
class GradOpRegistrar : public Registrar {
 public:
  GradOpRegistrar(const char* op_type, const char* grad_op_type) {
    OpRegistry::RegisterGradOp<GradOpType>(op_type, grad_op_type);
  }
};

template <typename PlaceType, typename KernelType>
class OpKernelRegistrar : public Registrar {
 public:
  explicit OpKernelRegistrar(const char* op_type) {
    OperatorWithKernel::OpKernelKey key;
    key.place_ = PlaceType();
    OperatorWithKernel::AllOpKernels()[op_type][key].reset(new KernelType);
  }
};

/**
 * check if MACRO is used in GLOBAL NAMESPACE.
 */
#define STATIC_ASSERT_GLOBAL_NAMESPACE(uniq_name, msg)                        \
  struct __test_global_namespace_##uniq_name##__ {};                          \
  static_assert(std::is_same<::__test_global_namespace_##uniq_name##__,       \
                             __test_global_namespace_##uniq_name##__>::value, \
                msg)

/**
 * Macro to register Operator.
 */
#define REGISTER_OP(op_type, op_class, op_maker_class)                        \
  STATIC_ASSERT_GLOBAL_NAMESPACE(                                             \
      __reg_op__##op_type, "REGISTER_OP must be called in global namespace"); \
  static ::paddle::framework::OpRegistrar<op_class, op_maker_class>           \
      __op_registrar_##op_type##__(#op_type);                                 \
  int TouchOpRegistrar_##op_type() {                                          \
    __op_registrar_##op_type##__.Touch();                                     \
    return 0;                                                                 \
  }

/**
 * Macro to register Gradient Operator.
 */
#define REGISTER_GRADIENT_OP(op_type, grad_op_type, grad_op_class)           \
  STATIC_ASSERT_GLOBAL_NAMESPACE(                                            \
      __reg_gradient_op__##op_type##_##grad_op_type,                         \
      "REGISTER_GRADIENT_OP must be called in global namespace");            \
  static ::paddle::framework::GradOpRegistrar<grad_op_class>                 \
      __op_gradient_registrar_##op_type##_##grad_op_type##__(#op_type,       \
                                                             #grad_op_type); \
  int TouchOpGradientRegistrar_##op_type() {                                 \
    __op_gradient_registrar_##op_type##_##grad_op_type##__.Touch();          \
    return 0;                                                                \
  }

/**
 * Macro to register OperatorKernel.
 */
#define REGISTER_OP_KERNEL(op_type, DEVICE_TYPE, place_class, ...)        \
  STATIC_ASSERT_GLOBAL_NAMESPACE(                                         \
      __reg_op_kernel_##op_type##_##DEVICE_TYPE##__,                      \
      "REGISTER_OP_KERNEL must be called in global namespace");           \
  static ::paddle::framework::OpKernelRegistrar<place_class, __VA_ARGS__> \
      __op_kernel_registrar_##op_type##_##DEVICE_TYPE##__(#op_type);      \
  int TouchOpKernelRegistrar_##op_type##_##DEVICE_TYPE() {                \
    __op_kernel_registrar_##op_type##_##DEVICE_TYPE##__.Touch();          \
    return 0;                                                             \
  }

/**
 * Macro to Forbid user register Gradient Operator.
 */
#define NO_GRADIENT(op_type)                           \
  STATIC_ASSERT_GLOBAL_NAMESPACE(                      \
      __reg_gradient_op__##op_type##_##op_type##_grad, \
      "NO_GRADIENT must be called in global namespace")

#define REGISTER_OP_GPU_KERNEL(op_type, ...) \
  REGISTER_OP_KERNEL(op_type, GPU, ::paddle::platform::GPUPlace, __VA_ARGS__)

#define REGISTER_OP_CPU_KERNEL(op_type, ...) \
  REGISTER_OP_KERNEL(op_type, CPU, ::paddle::platform::CPUPlace, __VA_ARGS__)

/**
 * Macro to mark what Operator and Kernel we will use and tell the compiler to
 * link them into target.
 */
#define USE_OP_ITSELF(op_type)                                    \
  STATIC_ASSERT_GLOBAL_NAMESPACE(                                 \
      __use_op_itself_##op_type,                                  \
      "USE_OP_ITSELF must be called in global namespace");        \
  extern int TouchOpRegistrar_##op_type();                        \
  static int use_op_itself_##op_type##_ __attribute__((unused)) = \
      TouchOpRegistrar_##op_type()

// TODO(fengjiayi): Most ops' gradient op have not been compeleted. So we use
// `NO_GRAD` to disable micro USE_OP_GRADIENT(op_type). Otherwise the code can't
// be compiled. `NO_GRAD` should be removed after all gradient ops are
// compeleted.
#define NO_GRAD
#ifndef NO_GRAD
#define USE_OP_GRADIENT(op_type)                                    \
  STATIC_ASSERT_GLOBAL_NAMESPACE(                                   \
      __use_op_gradient_##op_type,                                  \
      "USE_OP_GRADIENT must be called in global namespace");        \
  extern int TouchOpGradientRegistrar_##op_type();                  \
  static int use_op_gradient_##op_type##_ __attribute__((unused)) = \
      TouchOpGradientRegistrar_##op_type()
#else
#define USE_OP_GRADIENT(op_type)
#endif

#define USE_OP_DEVICE_KERNEL(op_type, DEVICE_TYPE)               \
  STATIC_ASSERT_GLOBAL_NAMESPACE(                                \
      __use_op_kernel_##op_type##_##DEVICE_TYPE##__,             \
      "USE_OP_DEVICE_KERNEL must be in global namespace");       \
  extern int TouchOpKernelRegistrar_##op_type##_##DEVICE_TYPE(); \
  static int use_op_kernel_##op_type##_##DEVICE_TYPE##_          \
      __attribute__((unused)) =                                  \
          TouchOpKernelRegistrar_##op_type##_##DEVICE_TYPE()

// TODO(fengjiayi): The following macros seems ugly, do we have better method?

#ifdef PADDLE_ONLY_CPU
#define USE_OP_KERNEL(op_type) USE_OP_DEVICE_KERNEL(op_type, CPU)
#else
#define USE_OP_KERNEL(op_type)        \
  USE_OP_DEVICE_KERNEL(op_type, CPU); \
  USE_OP_DEVICE_KERNEL(op_type, GPU)
#endif

#define USE_NO_GRAD_OP(op_type) \
  USE_OP_ITSELF(op_type);       \
  USE_OP_KERNEL(op_type)

#define USE_CPU_OP(op_type)           \
  USE_OP_ITSELF(op_type);             \
  USE_OP_DEVICE_KERNEL(op_type, CPU); \
  USE_OP_GRADIENT(op_type)

#define USE_OP(op_type)    \
  USE_NO_GRAD_OP(op_type); \
  USE_OP_GRADIENT(op_type)

}  // namespace framework
}  // namespace paddle