/* Copyright (c) 2019 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. */

#include "paddle/fluid/framework/ir/placement_pass_base.h"
#include <string>
#include "paddle/fluid/framework/operator.h"

namespace paddle {
namespace framework {
namespace ir {

void PlacementPassBase::ApplyImpl(ir::Graph* graph) const {
  VLOG(3) << "Applies " << GetPlacementName() << " placement strategy.";
  std::string attr_name = GetAttrName();
  const auto& op_types_list = GetOpTypesList();
  if (!graph->Has(attr_name)) {
    graph->Set<bool>(attr_name, new bool(true));
  }
  for (const Node* n : graph->Nodes()) {
    if (n->IsOp()) {
      auto* op = n->Op();
      if ((op->HasAttr(attr_name) || op->HasProtoAttr(attr_name)) &&
          IsSupport(op->Type())) {
        if (op_types_list.empty() && IsDefaultOpTypes(op->Type())) {
          op->SetAttr(attr_name, true);
        } else if (std::find(op_types_list.begin(), op_types_list.end(),
                             n->Name()) != op_types_list.end()) {
          op->SetAttr(attr_name, true);
        }
      }
    }
  }
}

bool PlacementPassBase::IsSupport(const std::string& op_type) const {
  if (GetAttrName() == "use_cudnn") {
    auto& all_kernels = OperatorWithKernel::AllOpKernels();
    auto it = all_kernels.find(op_type);
    if (it == all_kernels.end()) {
      // All control operators don't have kernel.
      return false;
    }
    for (auto& kernel_pair : it->second) {
      if (platform::is_gpu_place(kernel_pair.first.place_) &&
          (kernel_pair.first.library_type_ == LibraryType::kCUDNN)) {
        return true;
      }
    }
  } else if (GetAttrName() == "use_mkldnn") {
    // This ops have use_mkldnn attr, but not support for now.
    const std::vector<std::string> op_types = {
        "trilinear_interp", "bicubic_interp", "linear_interp"};
    return std::find(op_types.begin(), op_types.end(), op_type) ==
           op_types.end();
  }
  return false;
}

bool PlacementPassBase::IsDefaultOpTypes(const std::string& op_type) const {
  if (GetAttrName() == "use_cudnn") {
    return true;
  } else if (GetAttrName() == "use_mkldnn") {
    // For interpolate ops, there's a little difference between Paddle and
    // MKLDNN.
    // If run MKLDNN interpolate ops, manual set AnalysisConfig and apply
    // the corresponding pass.
    const std::vector<std::string> not_default_op_types = {
        "bilinear_interp", "nearest_interp", "trilinear_interp",
        "bicubic_interp",  "linear_interp",  "bilinear_interp_v2",
        "linear_interp_v2"};
    bool is_interpolate_op =
        std::find(not_default_op_types.begin(), not_default_op_types.end(),
                  op_type) != not_default_op_types.end();
    return !is_interpolate_op;
  }
  return false;
}

}  // namespace ir
}  // namespace framework
}  // namespace paddle
