TransposeConv.cpp

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/*
 * Copyright (c) 2024 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 "OMStatus.h"
 
#include "core/OMUtils.h"
#include "core/OMKernelData.h"
 
#include "import/OMKernelConfigureBuilder.h"
 
#include "execute/OMRuntimeKernel.h"
#include "execute/OMUtils.h"
 
using namespace onert_micro;
using namespace onert_micro::core;
 
namespace
{
 
// For the TfLite transpose_conv implementation, input tensor 0 corresponds to
// the OutputShapeTensor. However, since TFLM does not support dynamic tensors,
// the TFLM implementation ignores input tensor 0 and the only inputs we care
// about are kFilterTensor, kInputTensor and kBiasTensor.
 
constexpr int kWeightTensorIdx = 1;
constexpr int kInputTensorIdx = 2;
constexpr int kBiasTensorIdx = 3;
constexpr int kOutputTensorIdx = 0;
 
} // namespace
 
OMStatus
onert_micro::import::configure_kernel_CircleTransposeConv(const OMConfigureArgs &config_args)
{
  OMRuntimeContext &runtime_context = config_args.runtime_context;
  uint16_t op_index = config_args.kernel_index;
 
  execute::OMRuntimeKernel runtime_kernel;
  runtime_kernel.readKernel(op_index, runtime_context);
 
  const circle::Tensor *input = runtime_kernel.inputs[kInputTensorIdx];
  const circle::Tensor *weight = runtime_kernel.inputs[kWeightTensorIdx];
  const circle::Tensor *output = runtime_kernel.outputs[kOutputTensorIdx];
 
  assert(input != nullptr);
  assert(weight != nullptr);
  // Bias can be nullptr
  assert(output != nullptr);
 
  OMStatus status = Ok;
 
  status = utils::checkCondition(input->type() == output->type());
  if (status != Ok)
    return status;
 
  status = utils::checkCondition(input->type() == weight->type());
  if (status != Ok)
    return status;
 
  core::OMRuntimeShape input_shape(input);
  core::OMRuntimeShape weight_shape(weight);
 
  status = utils::checkCondition(input_shape.dimensionsCount() == 4);
  if (status != Ok)
    return status;
 
  status = utils::checkCondition(input_shape.dimensionsCount() == weight_shape.dimensionsCount());
  if (status != Ok)
    return status;
 
  return status;
}