OpenHarmony-v3.2.3-Release/s

/**
 * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
 *
 * Copyright 2019-2021 Huawei Technologies Co., Ltd
 *
 * 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.
 */

#ifndef MINDSPORE_CORE_IR_ANF_H_
#define MINDSPORE_CORE_IR_ANF_H_

#include <functional>
#include <string>
#include <vector>
#include <memory>
#include <unordered_map>
#include <utility>
#include <set>

#include "base/base.h"
#include "base/user_data.h"
#include "base/effect_info.h"
#include "ir/kernel_info_dev.h"
#include "ir/scope.h"
#include "ir/primal_attr.h"
#include "ir/primal_debug_info.h"
#include "utils/info.h"
#include "utils/ms_utils.h"

// A MindSpore ANF IR defined here.
// with BNF followed:
// <ANode> ::= Scalar | Named | Tensor  | Var |
//             Prim   | MetaFuncGraph | FuncGraph | Type|
//             Shape  | Param
// <CNode> ::= (<ANode> ...)
// <AnfNode> ::= <CNode> | <ANode>
// ANode: Atomic  Node
// CNode: Complex Node
namespace mindspore {
namespace abstract {
class BaseShape;
class AbstractBase;
}  // namespace abstract
using BaseShapePtr = std::shared_ptr<abstract::BaseShape>;
using AbstractBasePtr = std::shared_ptr<abstract::AbstractBase>;
using AbstractBasePtrList = std::vector<AbstractBasePtr>;

class Value;
using ValuePtr = std::shared_ptr<Value>;
using ValuePtrList = std::vector<ValuePtr>;

class ValueNode;
using ValueNodePtr = std::shared_ptr<ValueNode>;

class CNode;
using CNodePtr = std::shared_ptr<CNode>;
using CNodePtrList = std::vector<CNodePtr>;
using CNodeWeakPtr = std::weak_ptr<CNode>;

class FuncGraph;
using FuncGraphSet = OrderedSet<FuncGraphPtr>;
using FuncGraphVector = std::vector<FuncGraphPtr>;

class Primitive;
using PrimitivePtr = std::shared_ptr<Primitive>;

class BaseRef;

class Var;
using VarPtr = std::shared_ptr<Var>;

class AnfIrVisitor;

class ParamInfo;
using ParamInfoPtr = std::shared_ptr<ParamInfo>;

// AnfNode is the basic class of the IR definition derived from Base.
// Only two types of nodes are derived: CNode and ANode.
// Methods:
// func_graph: return FuncGraph that this AnfNode belongs to.
// scope: return the scope namespace of this AnfNode. Set it using set_scope.
// abstract: return the cached inferred abstract value. It contains type, shape
// value. Set New cache using set_abstract.
// intermediate_abstract: return the cached inferring abstract value.
// Type/Shape: return the related info of this AnfNode. When this AnfNode is an
// input of other CNodes, you can get the related info by this method.
// debug_info: return the information retrieved from parser. Set it using set_debug_info.
// fullname_with_scope: return the detailed debug info.
class MS_CORE_API AnfNode : public Base {
 public:
  explicit AnfNode(const FuncGraphPtr &func_graph)
      : func_graph_(FuncGraphWeakPtr(func_graph)),
        abstract_(nullptr),
        intermediate_abstract_(nullptr),
        debug_info_(std::make_shared<NodeDebugInfo>()),
        fullname_with_scope_(""),
        hash_(std::hash<const AnfNode *>()),
        kernel_info_(nullptr),
        stage_(-1),
        need_grad_(false),
        interpret_(false),
        interpreted_node_(nullptr) {
    scope_ = ScopeManager::GetInstance().GetCurrentScope();
  }

  ~AnfNode() override = default;
  MS_DECLARE_PARENT(AnfNode, Base);

  virtual void accept(AnfIrVisitor *) {}
  FuncGraphPtr func_graph() const { return func_graph_.lock(); }

  virtual void set_func_graph(const FuncGraphPtr &func_graph) { func_graph_ = FuncGraphWeakPtr(func_graph); }

  ScopePtr scope() { return scope_; }
  void set_scope(const ScopePtr &scope) { scope_ = scope; }

  const KernelInfoDevice *kernel_info() const { return kernel_info_.get(); }
  KernelInfoDevice *kernel_info() { return kernel_info_.get(); }
  const KernelInfoDevicePtr &kernel_info_ptr() { return kernel_info_; }
  void set_kernel_info(const KernelInfoDevicePtr &kernel_info) { kernel_info_ = kernel_info; }

  const AbstractBasePtr &abstract() const { return abstract_; }
  void set_abstract(const AbstractBasePtr &abs) { abstract_ = abs; }

  AbstractBasePtr intermediate_abstract() { return intermediate_abstract_; }
  void set_intermediate_abstract(const AbstractBasePtr &abs) { intermediate_abstract_ = abs; }

  NodeDebugInfoPtr debug_info() {
    MS_EXCEPTION_IF_NULL(debug_info_);
    if (debug_info_->get_node() == nullptr) {
      debug_info_->set_node(shared_from_base<AnfNode>());
    }
    return debug_info_;
  }
  void set_debug_info(const NodeDebugInfoPtr &debug_info) {
    MS_EXCEPTION_IF_NULL(debug_info);
    debug_info_ = debug_info;
    if (debug_info_->get_node() == nullptr) {
      debug_info_->set_node(shared_from_base<AnfNode>());
    }
  }

  TypePtr Type() const;
  BaseShapePtr Shape() const;

  std::size_t hash() const override { return this->hash_(this); }
  virtual std::string fullname_with_scope() { return ""; }
  std::string UniqueName() { return fullname_with_scope() + "_" + UniqueId(); }

  virtual std::string DebugString(int recursive_level = 1) const { return ToString(); }
  virtual std::string DebugString(bool recursive) const { return DebugString(recursive ? 1 : 0); }
  std::string ToString() const override;
  void dump() const override { std::cout << DebugString() << std::endl; }
  std::string UniqueId() { return std::to_string(debug_info()->unique_id()); }
  std::string UniqueIdThroughCopy() { return std::to_string(debug_info()->unique_id_through_copy()); }
  virtual bool operator==(const AnfNode &other) const { return &other == this; }
  friend std::ostream &operator<<(std::ostream &os, const AnfNode &node) {
    os << node.ToString();
    return os;
  }
  size_t seen_{0};
  size_t extra_seen_{0};

  template <typename T>
  void set_user_data(const std::string &key, const std::shared_ptr<T> &value) {
    user_data_.set<T>(key, value);
  }

  template <typename T>
  void set_user_data(const std::shared_ptr<T> &value) {
    user_data_.set<T>(T::key, value);
  }

  template <typename T>
  std::shared_ptr<T> user_data(const std::string &key) const {
    return user_data_.get<T>(key);
  }

  template <typename T>
  std::shared_ptr<T> user_data() const {
    return user_data_.get<T>(T::key);
  }

  bool has_user_data(const std::string &key) const { return user_data_.has(key); }

  template <typename T>
  bool has_user_data() const {
    return user_data_.has(T::key);
  }

  void CloneUserData(const AnfNodePtr &node) { user_data_ = node->user_data_; }

  int64_t stage() { return stage_; }
  void set_stage(const int &stage) { stage_ = stage; }

  bool grad() { return need_grad_; }
  void set_grad(const bool &need_grad) { need_grad_ = need_grad; }

  bool interpret() { return interpret_; }
  void set_interpret(const bool &interpret) { interpret_ = interpret; }

  AnfNodePtr interpreted_node() { return interpreted_node_; }
  void set_interpreted_node(const AnfNodePtr &node) { interpreted_node_ = node; }

 protected:
  // Hold a weak ref to Graph as Graph also hold ref to AnfNode.
  // Otherwise, func_graph_ and AnfNode will make a reference cycle.
  FuncGraphWeakPtr func_graph_;
  AbstractBasePtr abstract_;
  AbstractBasePtr intermediate_abstract_;
  NodeDebugInfoPtr debug_info_;
  std::string fullname_with_scope_;

 private:
  std::hash<const AnfNode *> hash_;
  ScopePtr scope_;
  KernelInfoDevicePtr kernel_info_;
  UserData user_data_;
  int64_t stage_;
  bool need_grad_;
  bool interpret_;
  AnfNodePtr interpreted_node_;
};

// CNode represents the complex node with a set of arguments.
// Fields:
// inputs_: represents all of the inputs for this CNode.
// Using input(i) to get the index i input.
// Using inputs() to get all the inputs as a vector.
// Using add_input(input) to append a new input for a CNode.
// Using set_input(i, input) to change some input of these inputs.
// Using set_inputs(inputs) to refresh all of the inputs of a CNode.
// func_graph_as_var_: used in opt pattern matching to match a real FuncGraph.
// stop_gradient_: a flag used to stop gradient.
// Using stop_gradient() to get this flag, mainly used in ad.
// Using set_stop_gradient() to set this flag.
class MS_CORE_API CNode : public AnfNode, public EffectInfoHolder {
 public:
  CNode(const std::vector<AnfNodePtr> &inputs, const FuncGraphPtr &func_graph);
  CNode(const std::vector<AnfNodePtr> &inputs, const VarPtr &func_graph_as_var)
      : AnfNode(nullptr),
        inputs_(inputs),
        func_graph_as_var_(func_graph_as_var),
        stop_gradient_(false),
        input_tensor_num_(-1) {
    primal_attrs_ = PrimalAttrManager::GetInstance().GetCurrentPrimalAttr();
    primal_debug_infos_ = PrimalDebugInfoManager::GetInstance().GetCurrentPrimalDebugInfo();
  }

  ~CNode() override = default;
  MS_DECLARE_PARENT(CNode, AnfNode);

  void accept(AnfIrVisitor *v) override;
  // check whether this cnode has some primitive value as the first input.
  bool IsApply(const PrimitivePtr &) const;

  const size_t size() const { return inputs_.size(); }
  const AnfNodePtr &input(size_t i) const;
  const std::vector<AnfNodePtr> &inputs() const { return inputs_; }
  void add_input(const AnfNodePtr &input);
  void set_input(size_t i, const AnfNodePtr &input);
  void set_inputs(const std::vector<AnfNodePtr> &inputs);

  void add_input_value(const ValuePtr &input_value, const std::string &id) {
    inputs_value_.push_back(std::make_pair(input_value, id));
  }
  void clear_inputs_value() { inputs_value_.clear(); }
  void set_inputs_value(const std::vector<std::pair<ValuePtr, std::string>> &values) { inputs_value_ = values; }
  const std::vector<std::pair<ValuePtr, std::string>> &inputs_value() const { return inputs_value_; }

  void set_forward(const ValueNodePtr &forward, const std::string &id) { output_value_ = std::make_pair(forward, id); }
  const std::pair<ValueNodePtr, std::string> &forward() const { return output_value_; }

  bool stop_gradient() const { return stop_gradient_; }
  void set_stop_gradient(bool stop_gradient) { stop_gradient_ = stop_gradient; }

  std::string fullname_with_scope() override;
  void set_fullname_with_scope(const std::string full_name) { fullname_with_scope_ = full_name; }
  std::string DebugString(int recursive_level = 1) const override;
  std::string DebugString(bool recursive) const override { return DebugString(recursive ? 1 : 0); }

  void set_in_forward_flag(bool flag) { in_forward_flag_ = flag; }
  bool in_forward_flag() const { return in_forward_flag_; }

  void set_load_flag(bool is_load) { is_load_ = is_load; }
  bool get_load_flag() { return is_load_; }

  VarPtr func_graph_as_var() const { return func_graph_as_var_; }

  const std::unordered_map<std::string, ValuePtr> &attrs() const { return attrs_; }
  void set_attrs(const std::unordered_map<std::string, ValuePtr> &attrs) {
    attrs_.insert(attrs.cbegin(), attrs.cend());
  }

  void AddAttr(const std::string &name, const ValuePtr &attr) { attrs_[name] = attr; }
  void EraseAttr(const std::string &name) { (void)attrs_.erase(name); }
  ValuePtr GetAttr(const std::string &name) const {
    auto iter = attrs_.find(name);
    return iter == attrs_.cend() ? nullptr : iter->second;
  }
  bool HasAttr(const std::string &name) const { return attrs_.find(name) != attrs_.cend(); }
  ssize_t input_tensor_num() const { return input_tensor_num_; }

  const std::unordered_map<std::string, ValuePtr> &primal_attrs() const { return primal_attrs_; }
  void set_primal_attrs(const std::unordered_map<std::string, ValuePtr> &attrs) {
    primal_attrs_.insert(attrs.cbegin(), attrs.cend());
  }
  void AddPrimalAttr(const std::string &name, const ValuePtr &attr) { primal_attrs_[name] = attr; }
  void ErasePrimalAttr(const std::string &name) { (void)primal_attrs_.erase(name); }
  ValuePtr GetPrimalAttr(const std::string &name) const {
    auto iter = primal_attrs_.find(name);
    return iter == primal_attrs_.cend() ? nullptr : iter->second;
  }
  bool HasPrimalAttr(const std::string &name) const { return primal_attrs_.find(name) != attrs_.cend(); }

  std::vector<NodeDebugInfoPtr> primal_debug_infos() { return primal_debug_infos_; }

  void set_primal_debug_infos(const std::vector<NodeDebugInfoPtr> &debug_infos) {
    primal_debug_infos_.insert(primal_debug_infos_.end(), debug_infos.begin(), debug_infos.end());
  }

  void AddPrimalDebugInfo(const NodeDebugInfoPtr debug_info) {
    if (std::find(primal_debug_infos_.begin(), primal_debug_infos_.end(), debug_info) != primal_debug_infos_.end()) {
      MS_LOG(EXCEPTION) << "Debug_info already in primal_debug_infos_ vector";
    }
    primal_debug_infos_.push_back(debug_info);
  }

  void CloneCNodeInfo(const CNodePtr &node) {
    MS_EXCEPTION_IF_NULL(node);
    set_abstract(node->abstract());
    set_forward(node->forward().first, node->forward().second);
    set_inputs_value(node->inputs_value());
    set_attrs(node->attrs());
    set_primal_attrs(node->primal_attrs());
    set_load_flag(node->get_load_flag());
    CloneUserData(node);
    set_kernel_info(node->kernel_info_ptr());
    set_primal_debug_infos(node->primal_debug_infos());
  }

  void set_input_tensor_num(ssize_t input_tensor_num) { input_tensor_num_ = input_tensor_num; }

  // Is effect have been handled.
  bool IsEffectHandled() const { return effect_handled_; }

  // Set effect handled or not.
  void SetEffectHandled(bool handled) { effect_handled_ = handled; }

 private:
  std::vector<AnfNodePtr> inputs_;
  VarPtr func_graph_as_var_;
  bool stop_gradient_;
  bool in_forward_flag_ = false;
  bool effect_handled_ = false;
  bool is_load_ = false;
  // inputs_value_ store cnode input value and id in pynative mode
  // output_value_ store cnode value and id in pynative mode
  std::vector<std::pair<ValuePtr, std::string>> inputs_value_;
  std::pair<ValueNodePtr, std::string> output_value_;
  std::unordered_map<std::string, ValuePtr> attrs_;
  std::unordered_map<std::string, ValuePtr> primal_attrs_;
  std::vector<NodeDebugInfoPtr> primal_debug_infos_;
  ssize_t input_tensor_num_ = -1;
};

// ANode represents the atomic node. It's derived Parameter and ValueNode.
class MS_CORE_API ANode : public AnfNode {
 public:
  ANode() : AnfNode(nullptr) {}
  explicit ANode(const FuncGraphPtr &func_graph) : AnfNode(func_graph) {}
  virtual ~ANode() = default;

  MS_DECLARE_PARENT(ANode, AnfNode);
};

// Parameter represents the parameter inputs of a function. They have no value.
// Attributes:
// default_param_value_: used to hold the inputting tensor of the model.
class MS_CORE_API Parameter : public ANode {
 public:
  explicit Parameter(const FuncGraphPtr &func_graph)
      : ANode(func_graph), name_(""), has_default_(false), default_param_(nullptr), used_graph_count_(0) {}
  ~Parameter() override = default;
  MS_DECLARE_PARENT(Parameter, ANode);

  void accept(AnfIrVisitor *v) override;
  std::string DebugString(int recursive_level = 1) const override;
  std::string name() const { return name_; }
  void set_name(const std::string &name) { name_ = name; }
  std::string fullname_with_scope() override { return name(); }

  bool has_default() const { return has_default_; }
  void set_default_param(ValuePtr param) {
    default_param_ = param;
    has_default_ = true;
  }
  ValuePtr default_param() const { return default_param_; }
  ParamInfoPtr param_info() const;

  void IncreaseUsedGraphCount() { used_graph_count_++; }
  void DecreaseUsedGraphCount() { used_graph_count_--; }
  int used_graph_count() const { return used_graph_count_; }

  bool operator==(const AnfNode &other) const override {
    if (!other.isa<Parameter>()) {
      return false;
    }
    auto p = static_cast<const Parameter &>(other);
    if (name_.length() > 0 && p.name_.length() > 0) {
      return p.name_ == name_;
    }
    return shared_from_this() == other.shared_from_this();
  }

  void SetNotUsedByRealKernelInGraph(uint32_t graph_id) { (void)not_used_in_graphs_.insert(graph_id); }

  bool IsUsedByRealKernelInGraph(uint32_t graph_id) const {
    if (not_used_in_graphs_.find(graph_id) != not_used_in_graphs_.end()) {
      return false;
    }
    return true;
  }

  void set_has_dynamic_shape(bool flag) { has_dynamic_shape_ = flag; }
  bool has_dynamic_shape() const { return has_dynamic_shape_; }

  void set_fracz_group(int64_t fracz_group) { fracz_group_ = fracz_group; }
  int64_t fracz_group() { return fracz_group_; }

 private:
  std::string name_;
  bool has_default_;
  std::set<uint32_t> not_used_in_graphs_;
  bool has_dynamic_shape_ = false;
  ValuePtr default_param_;
  // The count of graphs using the parameter.
  int used_graph_count_;
  // groups attr in FracZ format
  int64_t fracz_group_ = 1;
};
using ParameterPtr = std::shared_ptr<Parameter>;

// Value is used to represent the atomic expression mentioned in BNF.
// It mainly be stored in ValueNode. Value and ValueNode is related definition.
class MS_CORE_API Value : public Base {
 public:
  Value() = default;
  explicit Value(const TypePtr t) : type_(t) {}
  Value(const Value &other) : Base(other) { this->type_ = other.type_; }
  ~Value() override = default;
  MS_DECLARE_PARENT(Value, Base)

  TypePtr type() const { return type_; }
  virtual abstract::AbstractBasePtr ToAbstract() {
    MS_LOG(EXCEPTION) << "ToAbstract error";
    abstract::AbstractBasePtr result;
    return result;
  }

  virtual bool operator==(const Value &rhs) const = 0;
  virtual Value &operator=(const Value &other) {
    if (&other == this) {
      return *this;
    }
    this->type_ = other.type_;
    return *this;
  }

 protected:
  TypePtr type_{nullptr};
};

// ValueNode is used to hold value. Unlike CNode and Parameter, ValueNode
// does not belong to any particular function graph.
class MS_CORE_API ValueNode : public ANode {
 public:
  explicit ValueNode(const ValuePtr &value) : value_(value) {}
  ~ValueNode() override = default;
  MS_DECLARE_PARENT(ValueNode, ANode);

  void set_func_graph(const FuncGraphPtr &func_graph) override {
    MS_EXCEPTION(ValueError) << "ValueNode should not set its func_graph.";
  }

  void accept(AnfIrVisitor *v) override;
  void set_value(const ValuePtr &value) { value_ = value; }
  const ValuePtr &value() const { return value_; }
  std::string fullname_with_scope() override;

  void set_has_new_value(bool flag) { has_new_value_ = flag; }
  bool has_new_value() const { return has_new_value_; }

  size_t used_graph_count() const { return used_graph_count_; }
  void set_used_graph_count(size_t used_graph_count) { used_graph_count_ = used_graph_count; }

  std::string ToString() const override;
  std::string DebugString(int recursive_level = 1) const override;
  std::string DebugString(bool recursive) const override { return DebugString(recursive ? 1 : 0); }

  bool operator==(const AnfNode &other) const override {
    if (!other.isa<ValueNode>()) {
      return false;
    }
    auto v = static_cast<const ValueNode &>(other);
    return *v.value() == *value();
  }
  friend std::ostream &operator<<(std::ostream &os, const ValueNodePtr &node) {
    MS_EXCEPTION_IF_NULL(node);
    os << node->ToString();
    return os;
  }

 private:
  ValuePtr value_;
  bool has_new_value_ = false;
  size_t used_graph_count_{0};
};

template <typename T>
struct ImmTraits {};

#define IMM_TRAITS(typeimm, prototype) \
  template <>                          \
  struct ImmTraits<prototype> {        \
    using type = typeimm;              \
  };

inline ValuePtr MakeValue(const ValuePtr &value) { return value; }

template <typename S, typename U = typename ImmTraits<S>::type::element_type>
inline ValuePtr MakeValue(S v) {
  return std::make_shared<U>(v);
}

template <typename S, typename U = typename ImmTraits<S>::type>
static S GetValue(const ValuePtr &value) {
  MS_EXCEPTION_IF_NULL(value);
  U imm = value->cast<U>();
  if (imm == nullptr) {
    MS_LOG(EXCEPTION) << "Cast failed, original value: " << value->ToString() << ", type: " << value->type_name();
  }
  return imm->value();
}

template <typename S,
          typename std::enable_if<is_shared_ptr<S>::value && std::is_base_of<Value, typename S::element_type>::value,
                                  S>::type * = nullptr>
static S GetValue(const ValuePtr &value) {
  MS_EXCEPTION_IF_NULL(value);
  S v = value->cast<S>();
  if (v == nullptr) {
    MS_LOG(EXCEPTION) << "Cast failed, original value: " << value->ToString() << ", type: " << value->type_name();
  }
  return v;
}

std::string GetCNodeFuncName(CNodePtr cnode);

// used to get FuncGraphPtr from a cnode first input
FuncGraphPtr GetCNodeFuncGraph(const AnfNodePtr &node);

// used to check whether an AnfNode is a cnode with a kind of Primitive as first input
bool IsPrimitiveCNode(const AnfNodePtr &node, const PrimitivePtr &value = nullptr);

// used to get PrimitivePtr from a cnode first input
PrimitivePtr GetCNodePrimitive(const AnfNodePtr &node);

// used to check whether an AnfNode is a valuenode having some Primitive value
MS_CORE_API bool IsPrimitive(const AnfNodePtr &node, const PrimitivePtr &value);

// Check whether two primitives are same.
bool IsPrimitiveEquals(const PrimitivePtr &prim1, const PrimitivePtr &prim2);

// Get number of AbstractMonad
size_t GetAbstractMonadNum(const AbstractBasePtrList &args);

// Check whether the given node has monad abstract.
bool HasAbstractMonad(const AnfNodePtr &node);

// Check whether the given node has U monad abstract.
bool HasAbstractUMonad(const AnfNodePtr &node);

// Check whether the given node has IO monad abstract.
bool HasAbstractIOMonad(const AnfNodePtr &node);

// Gets primitive attribute value as a bool flag.
bool GetPrimitiveFlag(const PrimitivePtr &prim, const std::string &attr);

// Gets effect info from a primitive by its attributes.
EffectInfo GetPrimEffectInfo(const PrimitivePtr &prim);

struct MonadState {
  AnfNodePtr u{nullptr};
  AnfNodePtr io{nullptr};
};

// Get Memory/IO monad state from node.
MonadState GetMonadState(const AnfNodePtr &node, const AnfNodePtr &skip_input = nullptr);

// Check if two state is equivalent.
bool IsStateEquivalent(const MonadState &state1, const MonadState &state2);

// Check if monad state is strict equivalent for the connected two nodes.
bool IsStateStrictEquivalent(const AnfNodePtr &outer, const AnfNodePtr &inner);

// Check if monad state is equivalent for the connected two nodes, not strict but more faster.
bool IsStateEquivalent(const AnfNodePtr &outer, const AnfNodePtr &inner);

// used to check whether a ValueNode has some kind of value
template <typename T>
static bool IsValueNode(const AnfNodePtr &node) {
  MS_EXCEPTION_IF_NULL(node);
  auto anode = node->cast<ValueNodePtr>();
  if (anode != nullptr) {
    auto value = anode->value();
    if (value == nullptr) {
      MS_LOG(EXCEPTION) << "Const value is nullptr.";
    }
    return value->isa<T>();
  }
  return false;
}

inline ValuePtr GetValueNode(const AnfNodePtr &node) {
  MS_EXCEPTION_IF_NULL(node);
  if (!node->isa<ValueNode>()) {
    return nullptr;
  }
  return node->cast<ValueNodePtr>()->value();
}

template <typename S,
          typename std::enable_if<is_shared_ptr<S>::value && std::is_base_of<Value, typename S::element_type>::value,
                                  S>::type * = nullptr>
inline S GetValueNode(const AnfNodePtr &node) {
  auto value = GetValueNode(node);
  if (value == nullptr) {
    return nullptr;
  }
  auto s = value->cast<S>();
  return s;
}

size_t NewSeenGeneration();

namespace id_generator {
std::string get_id(const AnfNodePtr &node);
void reset_id();
}  // namespace id_generator
using TaggedNodeMap = std::unordered_map<AnfNodePtr, size_t>;
using TaggedGraph = std::pair<FuncGraphPtr, TaggedNodeMap>;
std::string GetCNodeTarget(const AnfNodePtr &node);
std::string GetOriginNodeTarget(const AnfNodePtr &node);
bool ContainMultiTarget(const std::vector<AnfNodePtr> &nodes);
struct GraphSegment {
  GraphSegment(const std::vector<AnfNodePtr> &nodes, bool is_cut) : nodes_(nodes), is_cut_(is_cut) {}
  void AddPreSegment(const std::shared_ptr<GraphSegment> &segment) { (void)pre_segments_.insert(segment); }
  std::vector<AnfNodePtr> nodes_;
  std::set<std::shared_ptr<GraphSegment>> pre_segments_;
  bool is_cut_{false};
  uint32_t graph_id_{0};
};
using GraphSegmentPtr = std::shared_ptr<GraphSegment>;
}  // namespace mindspore

#endif  // MINDSPORE_CORE_IR_ANF_H_