// 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/softmax_op.h"
#include "lite/core/op_registry.h"

namespace paddle {
namespace lite {
namespace operators {

bool SoftmaxOp::CheckShape() const {
  CHECK_OR_FALSE(param_.x);
  CHECK_OR_FALSE(param_.output);
  auto x_dims = param_.x->dims();
  auto x_rank = x_dims.size();
  CHECK_OR_FALSE(param_.axis >= -static_cast<int>(x_rank) &&
                 param_.axis < static_cast<int>(x_rank));
  return true;
}

bool SoftmaxOp::SmartInferShape() {
  if (!last_input_shapes.empty() && !last_output_shapes.empty()) {
    if (param_.x->dims() == last_input_shapes[0] &&
        param_.x->lod() == last_input_lods[0]) {
      param_.output->Resize(last_output_shapes[0]);
      param_.output->set_lod(last_output_lods[0]);
      return true;
    }
  }

  this->InferShape();

  if (!last_input_shapes.empty()) {
    last_input_shapes.clear();
    last_input_lods.clear();
  }
  last_input_shapes.push_back(param_.x->dims());
  last_input_lods.push_back(param_.x->lod());

  if (!last_output_shapes.empty()) {
    last_output_shapes.clear();
    last_output_lods.clear();
  }
  last_output_shapes.push_back(param_.output->dims());
  last_output_lods.push_back(param_.output->lod());
  return true;
}

bool SoftmaxOp::InferShape() const {
  param_.output->Resize(param_.x->dims());
  auto out_lod = param_.output->mutable_lod();
  *out_lod = param_.x->lod();

  return true;
}

bool SoftmaxOp::AttachImpl(const cpp::OpDesc &opdesc, lite::Scope *scope) {
  param_.x = const_cast<lite::Tensor *>(
      &scope->FindVar(opdesc.Input("X").front())->Get<lite::Tensor>());
  param_.output =
      scope->FindVar(opdesc.Output("Out").front())->GetMutable<lite::Tensor>();

  if (opdesc.HasAttr("axis")) {
    param_.axis = opdesc.GetAttr<int>("axis");
  } else {
    param_.axis = -1;
  }
  CHECK(param_.x);
  CHECK(param_.output);
  return true;
}

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

REGISTER_LITE_OP(softmax, paddle::lite::operators::SoftmaxOp);
