Slice.cpp

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/*
 * 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 "Slice.h"
 
#include "Convert.h"
 
namespace tflchef
{
 
void TFliteOpSlice::filler(const tflite::Operator *op, TFliteImport *import,
                           tflchef::ModelRecipe *model_recipe) const
{
  const std::vector<int32_t> &inputs = as_index_vector(op->inputs());
 
  // for begin and size
  for (int32_t index = 1; index <= 2; ++index)
  {
    const tflite::Tensor *tensor = import->tensors()->Get(inputs[index]);
    assert(tensor->type() == tflite::TensorType::TensorType_INT32);
    const tflite::Buffer *buffer = import->buffers()->Get(tensor->buffer());
    auto vec = extract_buffer<int32_t>(buffer);
    import->set_tensor_filler(inputs[index], vec);
  }
}
 
tflchef::Operation *TFliteOpSlice::build(RecipeChefContext *ctx) const
{
  tflchef::Operation *operation = ctx->chefop;
  const tflite::Operator *op = ctx->tflop;
 
  operation->set_type("Slice");
 
  return operation;
}
 
} // namespace tflchef