mindspore2022/mindspore/ccsrc/frontend/optimizer/auto_monad_eliminate.cc

/**
 * Copyright 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.
 */

#include "frontend/optimizer/auto_monad_eliminate.h"

#include <vector>
#include <unordered_set>
#include <unordered_map>
#include <algorithm>

#include "base/core_ops.h"

namespace mindspore {
namespace opt {
std::vector<std::vector<size_t>> GenerateLoadGroups(const FuncGraphPtr &fg, const std::vector<AnfNodePtr> &toposet,
                                                    std::vector<AnfNodePtr> *need_replace_loads) {
  std::unordered_map<AnfNodePtr, size_t> load_groups_record;
  std::vector<std::vector<size_t>> load_groups;
  std::unordered_set<AnfNodePtr> unload_users_record;
  for (size_t i = 0; i < toposet.size(); i++) {
    auto &node = toposet[i];
    auto cnode = node->cast<CNodePtr>();
    if (cnode == nullptr) {
      continue;
    }
    if (!IsPrimitiveCNode(cnode, prim::kPrimLoad)) {
      for (const auto &input : cnode->inputs()) {
        if (input->isa<Parameter>() ||
            (IsPrimitiveCNode(input, prim::kPrimDepend) && input->cast<CNodePtr>()->input(1)->isa<Parameter>())) {
          unload_users_record.insert(input);
        }
      }
      continue;
    }
    // Exclude free variable node.
    if (cnode->func_graph() != fg) {
      continue;
    }
    auto load_param = cnode->input(1);
    // first time get same input1 of load.
    if (load_groups_record.find(load_param) == load_groups_record.end()) {
      load_groups_record[load_param] = load_groups.size();
      load_groups.push_back({i});
      if (unload_users_record.find(load_param) == unload_users_record.end()) {
        need_replace_loads->emplace_back(cnode);
      }
    } else {
      // not first time get same input1 of load
      load_groups[load_groups_record[load_param]].push_back(i);
    }
  }
  return load_groups;
}

std::vector<std::vector<size_t>> SplitGroup(const std::vector<AnfNodePtr> &toposet, const std::vector<size_t> &group) {
  if (group.size() <= 1) {
    return {};
  }
  auto load_param = toposet[group.back()]->cast<CNodePtr>()->input(1);
  size_t cur_load_index = 1;
  size_t pre_load_index = 0;
  std::vector<size_t> cur_group = {group[pre_load_index]};
  std::vector<std::vector<size_t>> split_groups;
  while (cur_load_index < group.size()) {
    const auto &cur_load = group[cur_load_index];
    const auto &prev_load = group[pre_load_index];
    const auto param_used_by_other =
      std::any_of(toposet.begin() + prev_load, toposet.begin() + cur_load, [&load_param](const AnfNodePtr &node) {
        if (!node->isa<CNode>()) {
          return false;
        }
        if (IsPrimitiveCNode(node, prim::kPrimLoad)) {
          return false;
        }
        // if Call/Switch/SwitchLayer, do not replace load.
        if (IsPrimitiveCNode(node, prim::kPrimCall) || IsPrimitiveCNode(node, prim::kPrimSwitch) ||
            IsPrimitiveCNode(node, prim::kPrimSwitchLayer)) {
          return true;
        }
        auto cnode = node->cast<CNodePtr>();
        auto &inputs = cnode->inputs();
        return std::any_of(inputs.begin(), inputs.end(),
                           [&load_param](const AnfNodePtr &input) { return load_param == input; });
      });
    if (param_used_by_other) {
      split_groups.push_back(cur_group);
      cur_group.clear();
    }
    cur_group.push_back(cur_load);
    pre_load_index++;
    cur_load_index++;
  }
  // push back the last splited group.
  split_groups.push_back(cur_group);
  return split_groups;
}

// Pattern1======================================
// a = Load(para1, u1)
// ...
// b = Load(para1, u2)
// u3 = UpdateState(u2, b)
// ==>
// delete the UpdateState
void DeleteLoadUserUpdateState(const FuncGraphManagerPtr &manager, const AnfNodePtr &load_user) {
  const auto &update_state_cnode = load_user->cast<CNodePtr>();
  constexpr size_t monad_index = 1;
  const auto &monad = update_state_cnode->input(monad_index);
  (void)manager->Replace(load_user, monad);
}

// Pattern2======================================
// a = Load(para1, u1)
// ...
// b = Load(para1, u2)
// t = make_tuple(x, b)
// u3 = UpdateState(u2, t)
//==>
// a = Load(para1, u1)
// ...
// b = Load(para1, u2)
// u3 = UpdateState(u2, x)
void DeleteLoadUserMakeTuple(const FuncGraphManagerPtr &manager, const CNodePtr &make_tuple, const AnfNodePtr &load) {
  // Initialize the other_input with load in case of all the inputs of the make_tuple is the same load.
  AnfNodePtr other_input = load;
  for (size_t i = 1; i < make_tuple->size(); i++) {
    if (make_tuple->input(i) != load) {
      other_input = make_tuple->input(i);
      break;
    }
  }
  MS_EXCEPTION_IF_NULL(other_input);
  manager->Replace(make_tuple, other_input);
}

// Pattern3======================================
// a = Load(para1, u1)
// ...
// b = Load(para1, u2)
// t = make_tuple(x, y, b, z)
// u3 = UpdateState(u2, t)
//==>
// a = Load(para1, u1)
// ...
// b = Load(para1, u2)
// t = make_tuple(x, y, z)
// u3 = UpdateState(u2, t)
void ReplaceLoadUserMakeTuple(const FuncGraphManagerPtr &manager, const FuncGraphPtr &fg, const CNodePtr &make_tuple,
                              const AnfNodePtr &load) {
  auto &make_tuple_inputs = make_tuple->inputs();
  std::vector<AnfNodePtr> new_make_tuple_inputs;
  (void)std::copy_if(make_tuple_inputs.begin(), make_tuple_inputs.end(), std::back_inserter(new_make_tuple_inputs),
                     [load](const AnfNodePtr &input) { return load != input; });
  const auto &new_make_tuple = fg->NewCNode(new_make_tuple_inputs);
  // Set abstract for the MakeTuple node.
  abstract::AbstractBasePtrList element_abstracts;
  (void)std::transform(new_make_tuple_inputs.begin() + 1, new_make_tuple_inputs.end(),
                       std::back_inserter(element_abstracts),
                       [](const AnfNodePtr &input) { return input->abstract(); });
  new_make_tuple->set_abstract(std::make_shared<abstract::AbstractTuple>(element_abstracts));
  manager->Replace(make_tuple, new_make_tuple);
}

bool ReplaceLoadUser(const FuncGraphManagerPtr &manager, const FuncGraphPtr &fg, const AnfNodePtr &load) {
  bool change = false;
  auto load_users = manager->node_users()[load];
  for (const auto &load_user : load_users) {
    // Pattern1
    if (IsPrimitiveCNode(load_user.first, prim::kPrimUpdateState)) {
      DeleteLoadUserUpdateState(manager, load_user.first);
      change = true;
      continue;
    }

    if (IsPrimitiveCNode(load_user.first, prim::kPrimMakeTuple)) {
      const auto &make_tuple = load_user.first->cast<CNodePtr>();
      auto &maketuple_users = manager->node_users()[make_tuple];
      auto maketuple_as_input_of_update =
        maketuple_users.size() == 1 && IsPrimitiveCNode(maketuple_users.back().first, prim::kPrimUpdateState);
      if (!maketuple_as_input_of_update) {
        continue;
      }
      // Pattern2
      if (make_tuple->size() == 3) {
        DeleteLoadUserMakeTuple(manager, make_tuple, load);
        change = true;
        continue;
      }
      // Pattern3
      if (make_tuple->size() > 3) {
        ReplaceLoadUserMakeTuple(manager, fg, make_tuple, load);
        change = true;
      }
    }
  }
  return change;
}

bool ReplaceSameGroupLoad(const FuncGraphManagerPtr &manager, const FuncGraphPtr &fg,
                          const std::vector<AnfNodePtr> &toposet, const std::vector<size_t> &group) {
  if (group.size() <= 1) {
    return false;
  }
  bool change = false;
  const auto &main = toposet[group[0]];
  for (size_t i = 1; i < group.size(); i++) {
    change = ReplaceLoadUser(manager, fg, toposet[group[i]]);
    manager->Replace(toposet[group[i]], main);
  }
  return change;
}

AnfNodePtr GetFirstMonad(const FuncGraphPtr &fg) {
  auto &params = fg->parameters();
  auto end = (params.size() > 1) ? (params.rbegin() + 2) : params.rend();
  auto iter = std::find_if(params.rbegin(), end, [](const AnfNodePtr &para) { return HasAbstractUMonad(para); });
  if (iter != end) {
    return *iter;
  }
  auto monad = NewValueNode(kUMonad);
  monad->set_abstract(kUMonad->ToAbstract());
  return monad;
}

// Replace UpdateStates with U for first load.
// Covert:
// u1 = UpdateState(u, c)
// p1 = Load(para1, u1)  // first load for para1
// To:
// u1 = UpdateState(u, c)
// p1 = Load(para1, u')  // u' is first monad in graph or new monad
bool ReplaceUpdateStateForLoad(const FuncGraphPtr &fg, const std::vector<AnfNodePtr> &need_replace_loads) {
  if (need_replace_loads.size() == 0) {
    return false;
  }
  bool change = false;
  constexpr size_t second_input_index = 2;
  auto monad = GetFirstMonad(fg);
  for (const auto &load_node : need_replace_loads) {
    if (!IsPrimitiveCNode(load_node, prim::kPrimLoad)) {
      continue;
    }
    auto update_state = load_node->cast<CNodePtr>()->input(second_input_index);
    if (!IsPrimitiveCNode(update_state, prim::kPrimUpdateState)) {
      continue;
    }
    auto mgr = fg->manager();
    mgr->SetEdge(load_node, second_input_index, monad);
    change = true;
  }
  return change;
}

// Node1{primLoad,X,Y1},...,Node{Node's input != X},...,Node2{primLoad,X,Y2},... =>
// Node1{primLoad,X,Y1},...,Node{Nodes' input != X},...,Node1,...
bool AutoMonadEliminator::ReplaceAutoMonadNode(const FuncGraphManagerPtr &manager) const {
  auto changed = false;
  for (const FuncGraphPtr &fg : manager->func_graphs()) {
    std::vector<AnfNodePtr> toposet = TopoSort(fg->get_return());
    std::vector<AnfNodePtr> need_replace_loads;
    std::vector<std::vector<size_t>> load_groups = GenerateLoadGroups(fg, toposet, &need_replace_loads);
    bool update_state_replaced = ReplaceUpdateStateForLoad(fg, need_replace_loads);
    if (update_state_replaced) {
      changed = true;
    }
    // split group if there is no-load node between two load nodes.
    std::vector<std::vector<size_t>> need_merge_loads;
    for (auto &group : load_groups) {
      auto groups = SplitGroup(toposet, group);
      need_merge_loads.insert(need_merge_loads.end(), groups.begin(), groups.end());
    }
    for (auto &group : need_merge_loads) {
      bool replaced = ReplaceSameGroupLoad(manager, fg, toposet, group);
      if (replaced) {
        changed = true;
      }
    }
  }
  return changed;
}

// Eliminate auto monad node:
// From:
//    u1 = UpdateState(...);
//    xxx = User(u1); // Other users except below Depend.
//    output = Depend(output, u1);
//    return output;
// To:
//    u1 = UpdateState(...);
//    xxx = User(u1);
//    return output;
bool AutoMonadEliminator::EliminateAutoMonadNode(const FuncGraphManagerPtr &manager) const {
  auto changed = false;
  for (const FuncGraphPtr &fg : manager->func_graphs()) {
    auto output = fg->output();
    if (output == nullptr) {
      continue;
    }
    if (!IsPrimitiveCNode(output, prim::kPrimDepend)) {
      continue;
    }
    constexpr size_t attach_index = 2;
    auto attach = output->cast<CNodePtr>()->input(attach_index);
    if (!IsPrimitiveCNode(attach, prim::kPrimUpdateState)) {
      continue;
    }
    auto &node_users = manager->node_users();
    auto iter = node_users.find(attach);
    if (iter == node_users.end()) {
      MS_LOG(EXCEPTION) << "No user of node: " << attach->DebugString();
    }
    auto &users = iter->second;
    if (users.size() <= 1) {
      continue;
    }
    constexpr size_t input_index = 1;
    auto input = output->cast<CNodePtr>()->input(input_index);
    MS_LOG(DEBUG) << "Change " << output->DebugString() << " -> " << input->DebugString();
    fg->set_output(input);
    changed = true;
  }
  MS_LOG(DEBUG) << "changed: " << changed;
  return changed;
}
}  // namespace opt
}  // namespace mindspore