// 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 "lite/operators/conditional_block_op.h"
#include "lite/core/op_lite.h"
#include "lite/core/op_registry.h"

namespace paddle {
namespace lite {
namespace operators {

bool ConditionalBlockOpLite::CheckShape() const {
  CHECK_OR_FALSE(param_.cond);
  CHECK_OR_FALSE(param_.sub_block);
  CHECK_OR_FALSE(param_.scope);
  return true;
}

bool ConditionalBlockOpLite::InferShapeImpl() const { return true; }

bool ConditionalBlockOpLite::AttachImpl(const cpp::OpDesc &op_desc,
                                        lite::Scope *scope) {
  auto condition = op_desc.Input("Cond").front();
  param_.cond = scope->FindVar(condition)->GetMutable<lite::Tensor>();

  auto inputs = op_desc.Input("Input");
  for (auto var : inputs) {
    param_.x.push_back(scope->FindVar(var)->GetMutable<lite::Tensor>());
  }

  auto outs = op_desc.Output("Out");
  for (auto var : outs) {
    param_.outs.push_back(scope->FindVar(var)->GetMutable<lite::Tensor>());
  }

  param_.is_scalar_condition = op_desc.GetAttr<bool>("is_scalar_condition");
  // obtain sub_block in core program.cc
  param_.sub_block = sub_block_;
  param_.scope = scope;

  return true;
}

}  // namespace operators
}  // namespace lite
}  // namespace paddle

REGISTER_LITE_OP(conditional_block,
                 paddle::lite::operators::ConditionalBlockOpLite);