2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
8 * http://www.apache.org/licenses/LICENSE-2.0
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
17 #include "NonMaxSuppressionV5.h"
20 #include "FillerHelper.h"
25 void TFliteOpNonMaxSuppressionV5::filler(const tflite::Operator *op, TFliteImport *import,
26 tflchef::ModelRecipe *model_recipe) const
28 const auto &inputs = *op->inputs();
30 const tflite::Tensor *max_output_size_tensor = import->tensors()->Get(inputs[2]);
31 assert(max_output_size_tensor->type() == tflite::TensorType::TensorType_INT32);
33 const tflite::Tensor *iou_threshold_tensor = import->tensors()->Get(inputs[3]);
34 assert(iou_threshold_tensor->type() == tflite::TensorType::TensorType_FLOAT32);
36 const tflite::Tensor *score_threshold_tensor = import->tensors()->Get(inputs[4]);
37 assert(score_threshold_tensor->type() == tflite::TensorType::TensorType_FLOAT32);
39 const tflite::Tensor *soft_nms_sigma_tensor = import->tensors()->Get(inputs[5]);
40 assert(soft_nms_sigma_tensor->type() == tflite::TensorType::TensorType_FLOAT32);
42 for (int32_t index = 2; index < 6; ++index)
44 fill_tensor_to_import(index, import);
48 tflchef::Operation *TFliteOpNonMaxSuppressionV5::build(const tflite::Operator *op,
50 tflchef::ModelRecipe *model_recipe) const
52 auto operation = model_recipe->add_operation();
54 operation->set_type("NonMaxSuppressionV5");
59 } // namespace tflchef