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 "TransposeConv.h"
24 void TFliteOpTransposeConv::filler(const tflite::Operator *op, TFliteImport *import,
25 tflchef::ModelRecipe *model_recipe) const
27 const auto &inputs = *op->inputs();
29 const tflite::Tensor *tensor = import->tensors()->Get(inputs[0]);
30 assert(tensor->type() == tflite::TensorType::TensorType_INT32);
31 const tflite::Buffer *buffer = import->buffers()->Get(tensor->buffer());
33 if (buffer && buffer->data())
35 auto vec = extract_buffer<int32_t>(buffer);
36 import->set_tensor_filler(inputs[0], vec);
40 const tflite::Tensor *filter_tensor = import->tensors()->Get(inputs[1]);
41 import->set_tensor_filler(inputs[1]);
44 tflchef::Operation *TFliteOpTransposeConv::build(const tflite::Operator *op, TFliteImport *import,
45 tflchef::ModelRecipe *model_recipe) const
47 auto op_params = op->builtin_options_as_TransposeConvOptions();
49 assert(op_params != nullptr);
51 auto operation = model_recipe->add_operation();
53 operation->set_type("TransposeConv");
55 auto op_options = operation->mutable_transpose_conv_options();
57 op_options->set_stride_h(op_params->stride_h());
58 op_options->set_stride_w(op_params->stride_w());
59 op_options->set_padding(as_tflchef_padding(op_params->padding()));
64 } // namespace tflchef