2 * Copyright (c) 2018 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.
24 void TFliteOpConv2D::filler(const tflite::Operator *op, TFliteImport *import,
25 tflchef::ModelRecipe *model_recipe) const
27 const std::vector<int32_t> &inputs = as_index_vector(op->inputs());
29 bool hasBias = (inputs.size() == 3);
30 assert(inputs.size() == 2 || hasBias);
32 import->set_tensor_filler(inputs.at(1)); // kernel
34 import->set_tensor_filler(inputs.at(2)); // bias
37 tflchef::Operation *TFliteOpConv2D::build(const tflite::Operator *op, TFliteImport *import,
38 tflchef::ModelRecipe *model_recipe) const
40 auto op_params = op->builtin_options_as_Conv2DOptions();
41 assert(op_params != nullptr);
43 auto operation = model_recipe->add_operation();
45 operation->set_type("Conv2D");
47 auto op_options = operation->mutable_conv2d_options();
49 op_options->set_activation(as_tflchef_activation(op_params->fused_activation_function()));
50 op_options->set_stride_h(op_params->stride_h());
51 op_options->set_stride_w(op_params->stride_w());
52 op_options->set_padding(as_tflchef_padding(op_params->padding()));
53 op_options->set_dilation_w_factor(op_params->dilation_w_factor());
54 op_options->set_dilation_h_factor(op_params->dilation_h_factor());
59 } // namespace tflchef