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path: root/compute/ARMComputeEx/src/core/NEON/kernels/NEEmbeddingLookupKernel.cpp
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/*
 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
 * Copyright (c) 2018-2019 ARM Limited.
 *
 * SPDX-License-Identifier: MIT
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to
 * deal in the Software without restriction, including without limitation the
 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
 * sell copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 */
#include "arm_compute/core/NEON/kernels/NEEmbeddingLookupKernel.h"

#include "arm_compute/core/Error.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/Window.h"

using namespace arm_compute;

NEEmbeddingLookupKernel::NEEmbeddingLookupKernel()
    : _input(nullptr), _lookups(nullptr), _output(nullptr)
{
}

void NEEmbeddingLookupKernel::configure(const ITensor *input, ITensor *output,
                                        const ITensor *lookups)
{
  ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
  ARM_COMPUTE_ERROR_THROW_ON(validate(input->info(), output->info(), lookups->info()));

  _input = input;
  _output = output;
  _lookups = lookups;

  // Auto initialize output if not initialized
  auto out_shape = input->info()->tensor_shape();
  out_shape.set(out_shape.num_dimensions() - 1, lookups->info()->num_dimensions());
  auto_init_if_empty(*output->info(), out_shape, 1, input->info()->data_type(),
                     input->info()->quantization_info());

  INEKernel::configure(calculate_max_window(*output->info()));
}

Status NEEmbeddingLookupKernel::validate(const arm_compute::ITensorInfo *input,
                                         const arm_compute::ITensorInfo *output,
                                         const arm_compute::ITensorInfo *lookups)
{
  ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, lookups);
  ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(
      input, 1, DataType::U8, DataType::S8, DataType::QASYMM8, DataType::U16, DataType::S16,
      DataType::U32, DataType::S32, DataType::F16, DataType::F32);
  ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(lookups, 1, DataType::S32);

  ARM_COMPUTE_ERROR_ON(input->num_dimensions() < 2 && input->num_dimensions() > 4);
  ARM_COMPUTE_ERROR_ON(lookups->num_dimensions() > 1);

  // Validate in case of configured output
  if (output->total_size() > 0)
  {
    ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
    ARM_COMPUTE_ERROR_ON(input->num_dimensions() != output->num_dimensions());
    ARM_COMPUTE_ERROR_ON(output->dimension(output->num_dimensions() - 1) != lookups->dimension(0));
    for (size_t i = 0; i < output->num_dimensions() - 1; ++i)
    {
      ARM_COMPUTE_ERROR_ON(input->dimension(i) != output->dimension(i));
    }
  }

  return Status{};
}

void NEEmbeddingLookupKernel::run(const Window &window, const ThreadInfo &info)
{
  ARM_COMPUTE_UNUSED(info);
  ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
  ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);

  const size_t lookup_dim = _output->info()->num_dimensions() - 1;

  Window output_window{window};
  output_window.set(Window::DimX,
                    Window::Dimension(output_window.x().start(), output_window.x().end(),
                                      _input->info()->dimension(0)));

  Window out_slice = output_window.first_slice_window_4D();
  do
  {
    Iterator output_it(_output, out_slice);

    execute_window_loop(out_slice,
                        [&](const Coordinates &id) {
                          const int32_t lookup = *reinterpret_cast<int32_t *>(
                              _lookups->ptr_to_element(Coordinates{id[lookup_dim]}));
                          Coordinates input_id{id};
                          input_id.set(lookup_dim, lookup);
                          memcpy(output_it.ptr(), _input->ptr_to_element(input_id),
                                 _output->info()->dimension(0) * _output->info()->element_size());
                        },
                        output_it);

  } while (window.slide_window_slice_4D(out_slice));
}