FullyConnected.cpp

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/*
 * Copyright (c) 2019 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 "FullyConnected.h"
 
#include "Convert.h"
#include "FillerHelper.h"
 
namespace tflchef
{
 
void TFliteOpFullyConnected::filler(const tflite::Operator *op, TFliteImport *import,
                                    tflchef::ModelRecipe *model_recipe) const
{
  const auto &inputs = *op->inputs();
 
  for (uint32_t idx = 1; idx < inputs.size(); idx++)
  {
    // optional input tensor idx has minus value.
    if (inputs[idx] >= 0)
      fill_tensor_to_import(inputs[idx], import);
  }
}
 
tflchef::Operation *TFliteOpFullyConnected::build(RecipeChefContext *ctx) const
{
  tflchef::Operation *operation = ctx->chefop;
  const tflite::Operator *op = ctx->tflop;
 
  auto op_params = op->builtin_options_as_FullyConnectedOptions();
  assert(op_params != nullptr);
 
  operation->set_type("FullyConnected");
 
  auto op_options = operation->mutable_fullyconnected_options();
 
  op_options->set_activation(as_tflchef_activation(op_params->fused_activation_function()));
  op_options->set_keep_num_dims(op_params->keep_num_dims());
 
  return operation;
}
 
} // namespace tflchef