CircleNonMaxSuppressionV5.cpp

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/*
 * Copyright (c) 2020 Samsung Electronics Co., Ltd. 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 "luci/Import/Nodes/CircleNonMaxSuppressionV5.h"
 
#include <luci/IR/Nodes/CircleNonMaxSuppressionV5.h>
#include <luci/IR/Nodes/CircleNonMaxSuppressionV5Out.h>
 
#include <loco.h>
#include <oops/UserExn.h>
 
namespace luci
{
 
bool CircleNonMaxSuppressionV5GraphBuilder::validate(const ValidateArgs &args) const
{
  const auto &inputs = args.op.inputs;
  const auto &outputs = args.op.outputs;
 
  if (inputs.size() != 6)
    return false;
  if (outputs.size() != 3)
    return false;
 
  const auto tensors = args.reader.tensors();
  const auto boxes_tensor = tensors.at(inputs[0]);
  assert(boxes_tensor != nullptr);
  const auto boxes_tensor_shape = wrap(boxes_tensor->shape());
  if (boxes_tensor_shape.size() != 2)
    return false;
  if (boxes_tensor_shape.at(1) != 4)
    return false;
  assert(tensors.at(inputs[1]) != nullptr);
  if (boxes_tensor_shape.at(0) != wrap(tensors.at(inputs[1])->shape()).at(0))
    return false;
 
  assert(tensors.at(inputs[2]) != nullptr);
  if (tensors.at(inputs[2])->type() != circle::TensorType_INT32)
    return false;
  assert(tensors.at(inputs[3]) != nullptr);
  if (tensors.at(inputs[3])->type() != circle::TensorType_FLOAT32)
    return false;
  assert(tensors.at(inputs[4]) != nullptr);
  if (tensors.at(inputs[4])->type() != circle::TensorType_FLOAT32)
    return false;
  assert(tensors.at(inputs[5]) != nullptr);
  if (tensors.at(inputs[5])->type() != circle::TensorType_FLOAT32)
    return false;
 
  return true;
}
 
CircleNode *CircleNonMaxSuppressionV5GraphBuilder::build_node(const BuildNodeArgs &bna) const
{
  auto node = bna.context->graph()->nodes()->create<CircleNonMaxSuppressionV5>();
 
  node->boxes(bna.input_nodes[0]);
  node->scores(bna.input_nodes[1]);
  node->max_output_size(bna.input_nodes[2]);
  node->iou_threshold(bna.input_nodes[3]);
  node->score_threshold(bna.input_nodes[4]);
  node->soft_nms_sigma(bna.input_nodes[5]);
 
  return node;
}
 
CircleNode *CircleNonMaxSuppressionV5GraphBuilder::build_out(const BuildOutArgs &boa) const
{
  auto *nodeout = boa.node->graph()->nodes()->create<CircleNonMaxSuppressionV5Out>();
 
  nodeout->input(boa.node);
  nodeout->index(boa.index);
 
  return nodeout;
}
 
} // namespace luci