TransposeConv.cpp

Go to the documentation of this file.

/*
 * 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 "TransposeConv.h"
 
#include "Convert.h"
 
namespace tflchef
{
 
void TFliteOpTransposeConv::filler(const tflite::Operator *op, TFliteImport *import,
                                   tflchef::ModelRecipe *model_recipe) const
{
  const auto &inputs = *op->inputs();
 
  const tflite::Tensor *tensor = import->tensors()->Get(inputs[0]);
  assert(tensor->type() == tflite::TensorType::TensorType_INT32);
  const tflite::Buffer *buffer = import->buffers()->Get(tensor->buffer());
 
  if (buffer && buffer->data())
  {
    auto vec = extract_buffer<int32_t>(buffer);
    import->set_tensor_filler(inputs[0], vec);
  }
 
  // filter
  const tflite::Tensor *filter_tensor = import->tensors()->Get(inputs[1]);
  import->set_tensor_filler(inputs[1]);
}
 
tflchef::Operation *TFliteOpTransposeConv::build(RecipeChefContext *ctx) const
{
  tflchef::Operation *operation = ctx->chefop;
  const tflite::Operator *op = ctx->tflop;
 
  auto op_params = op->builtin_options_as_TransposeConvOptions();
 
  assert(op_params != nullptr);
 
  operation->set_type("TransposeConv");
 
  auto op_options = operation->mutable_transpose_conv_options();
  auto tflchef_activation = as_tflchef_activation(op_params->fused_activation_function());
 
  op_options->set_stride_h(op_params->stride_h());
  op_options->set_stride_w(op_params->stride_w());
  op_options->set_padding(as_tflchef_padding(op_params->padding()));
  op_options->set_activation(tflchef_activation);
 
  return operation;
}
 
} // namespace tflchef