// 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/backends/xpu/builder.h"
#include "lite/kernels/xpu/bridges/registry.h"

namespace paddle {
namespace lite {
namespace kernels {
namespace xpu {
namespace bridges {

node_map_type SoftmaxConverter(const std::shared_ptr<lite::OpLite> op,
                               graph_ctx_type* graph_ctx,
                               const node_map_type& input_nodes) {
  auto op_info = op->op_info();
  auto op_type = op_info->Type();
  auto unique_op_type = lite::xpu::UniqueName(op_type);
  LOG(INFO) << "[XPU] Converting " + op_type + "...";

  // check context
  CHECK(graph_ctx != nullptr);
  CHECK(graph_ctx->builder != nullptr);
  CHECK(graph_ctx->params != nullptr);

  // get op's attributes
  auto x_var_name = op_info->Input("X").front();
  auto axis = op_info->GetAttr<int>("axis");

  // create softmax node and set params from ops
  CHECK(input_nodes.count(x_var_name));
  std::shared_ptr<xtcl::xExpr> softmax_node = nullptr;
  softmax_node = std::make_shared<xtcl::xExpr>(
      graph_ctx->builder->CreateSoftmax(*input_nodes.at(x_var_name), axis));
  graph_ctx->builder->SetLayer(unique_op_type);

  // output converted nodes
  node_map_type output_nodes;
  output_nodes[op_info->Output("Out").front()] = softmax_node;
  return output_nodes;
}

}  // namespace bridges
}  // namespace xpu
}  // namespace kernels
}  // namespace lite
}  // namespace paddle

REGISTER_XPU_BRIDGE(softmax,
                    paddle::lite::kernels::xpu::bridges::SoftmaxConverter);