pool_op.cc

// 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 PoolConverter(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 input, and attributes
  auto x_var_name = op_info->Input("X").front();
  auto pooling_type = op_info->GetAttr<std::string>("pooling_type");
  auto ceil_mode = op_info->GetAttr<bool>("ceil_mode");
  auto paddings = op_info->GetAttr<std::vector<int>>("paddings");
  auto global_pooling = op_info->GetAttr<bool>("global_pooling");
  auto ksize = op_info->GetAttr<std::vector<int>>("ksize");
  auto strides = op_info->GetAttr<std::vector<int>>("strides");
  auto exclusive = op_info->GetAttr<bool>("exclusive");

  // create pool node and set params from op
  CHECK(input_nodes.count(x_var_name));
  std::shared_ptr<xtcl::xExpr> pool_node = nullptr;
  if (pooling_type == "max") {
    if (global_pooling) {
      pool_node = std::make_shared<xtcl::xExpr>(
          graph_ctx->builder->CreateGlobalMaxPool2D(
              *input_nodes.at(x_var_name)));
    } else {
      pool_node = std::make_shared<xtcl::xExpr>(
          graph_ctx->builder->CreateMaxPool2D(*input_nodes.at(x_var_name),
                                              lite::xpu::CvtShape(ksize),
                                              lite::xpu::CvtShape(strides),
                                              lite::xpu::CvtShape(paddings),
                                              "NCHW",
                                              ceil_mode));
    }
  } else if (pooling_type == "avg") {
    if (global_pooling) {
      pool_node = std::make_shared<xtcl::xExpr>(
          graph_ctx->builder->CreateGlobalAvgPool2D(
              *input_nodes.at(x_var_name)));
    } else {
      pool_node = std::make_shared<xtcl::xExpr>(
          // !exclusive ---> count_include_pad
          graph_ctx->builder->CreateAvgPool2D(*input_nodes.at(x_var_name),
                                              lite::xpu::CvtShape(ksize),
                                              lite::xpu::CvtShape(strides),
                                              lite::xpu::CvtShape(paddings),
                                              "NCHW",
                                              ceil_mode,
                                              !exclusive));
    }
  } else {
    LOG(FATAL) << "Unsupported pooling type: " << pooling_type;
  }
  graph_ctx->builder->SetLayer(unique_op_type);

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

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

REGISTER_XPU_BRIDGE(pool2d, paddle::lite::kernels::xpu::bridges::PoolConverter);