Reshape.cpp

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/*
 * Copyright (c) 2018 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 "Reshape.h"
 
#include "Convert.h"
#include "FillerHelper.h"
 
namespace tflchef
{
 
void TFliteOpReshape::filler(const tflite::Operator *op, TFliteImport *import,
                             tflchef::ModelRecipe *model_recipe) const
{
  const std::vector<int32_t> &inputs = as_index_vector(op->inputs());
 
  bool hasShape = (inputs.size() == 2);
  if (hasShape)
  {
    fill_tensor_to_import(inputs[1], import);
  }
}
 
tflchef::Operation *TFliteOpReshape::build(RecipeChefContext *ctx) const
{
  tflchef::Operation *operation = ctx->chefop;
  const tflite::Operator *op = ctx->tflop;
 
  operation->set_type("Reshape");
 
  auto op_params = op->builtin_options_as_ReshapeOptions();
  if (op_params != nullptr)
  {
    auto op_options = operation->mutable_reshape_options();
 
    std::vector<int32_t> new_shape = as_index_vector(op_params->new_shape());
    for (auto shape : new_shape)
    {
      op_options->add_new_shape(shape);
    }
  }
 
  return operation;
}
 
} // namespace tflchef