text: /*
   * Copyright (c) 2018-2020 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/CL/kernels/CLChannelShuffleLayerKernel.h"
  
  #include "arm_compute/core/CL/CLHelpers.h"
  #include "arm_compute/core/CL/CLKernelLibrary.h"
  #include "arm_compute/core/CL/CLValidate.h"
  #include "arm_compute/core/CL/ICLTensor.h"
  #include "arm_compute/core/Error.h"
  #include "arm_compute/core/Helpers.h"
  #include "arm_compute/core/TensorInfo.h"
  #include "arm_compute/core/Window.h"
  #include "support/StringSupport.h"
  
  namespace arm_compute
  {
  namespace
  {
  Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, unsigned int num_groups)
  {
      ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
      ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
      ARM_COMPUTE_RETURN_ERROR_ON_MSG(num_groups < 2, "Channel shuffling with less than 2 groups would be inefficient");
  
      const unsigned int channels = input->dimension(get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::CHANNEL));
  
      ARM_COMPUTE_RETURN_ERROR_ON_MSG(num_groups == channels, "Channel shuffling with same number of groups as number of channels would be inefficient");
      // There cannot be more groups than channels
      ARM_COMPUTE_RETURN_ERROR_ON(num_groups > channels);
      ARM_COMPUTE_RETURN_ERROR_ON_MSG((channels % num_groups) != 0, "The number of channels must be a multiple of the number of groups");
  
      // Checks performed when output is configured
      if(output->total_size() != 0)
      {
          ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
          ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
          ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
      }
  
      return Status{};
  }
  
  std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
  {
      // Output tensor auto initialization if not yet initialized
      auto_init_if_empty(*output, *input->clone());
  
      const bool             is_nhwc                             = input->data_layout() == DataLayout::NHWC;
      const unsigned int     num_elems_processed_per_iteration_x = is_nhwc ? 4 : max_cl_vector_width / input->element_size();
      constexpr unsigned int num_elems_processed_per_iteration_y = 2;
  
      // Configure kernel window
      Window                win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y));
      AccessWindowRectangle input_access(input, 0, 0, num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y);
      AccessWindowRectangle output_access(output, 0, 0, num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y);
  
      const bool window_changed = update_window_and_padding(win, input_access, output_access);
      output_access.set_valid_region(win, input->valid_region());
  
      Window win_collapsed = win.collapse(win, Window::DimZ);
  
      Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
      return std::make_pair(err, win_collapsed);
  }
  } // namespace
  
  CLChannelShuffleLayerKernel::CLChannelShuffleLayerKernel()
      : _input(nullptr), _output(nullptr)
  {
  }
  
  void CLChannelShuffleLayerKernel::configure(const ICLTensor *input, ICLTensor *output, unsigned int num_groups)
  {
      configure(CLKernelLibrary::get().get_compile_context(), input, output, num_groups);
  }
  
  void CLChannelShuffleLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, unsigned int num_groups)
  {
      ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
  
      _input  = input;
      _output = output;
  
      ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), num_groups));
  
      const DataLayout   data_layout = input->info()->data_layout();
      const bool         is_nhwc     = data_layout == DataLayout::NHWC;
      const unsigned int channels    = input->info()->dimension(get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL));
      const unsigned int vec_size    = is_nhwc ? 4 : max_cl_vector_width / input->info()->element_size();
  
      // Set kernel build options
      CLBuildOptions build_opts;
      build_opts.add_option("-DNUM_GROUPS=" + support::cpp11::to_string(num_groups));
      build_opts.add_option("-DK=" + support::cpp11::to_string(channels / num_groups));
      build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size));
      build_opts.add_option("-DSRC_DIM_Z=" + support::cpp11::to_string(input->info()->dimension(2)));
      build_opts.add_option("-DLAST_ACCESSED=" + support::cpp11::to_string(std::max(static_cast<int>(channels - vec_size), 0)));
      build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(input->info()->element_size()));
  
      // Create kernel
      std::string kernel_name = "channel_shuffle_" + lower_string(string_from_data_layout(data_layout));
  
      _kernel = create_kernel(compile_context, kernel_name, build_opts.options());
  
      // Configure kernel window
      auto win_config = validate_and_configure_window(input->info(), output->info());
      ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
      ICLKernel::configure_internal(win_config.second);
  
      // Set config_id for enabling LWS tuning
      _config_id = kernel_name;
      _config_id += "_";
      _config_id += lower_string(string_from_data_type(input->info()->data_type()));
      _config_id += "_";
      _config_id += support::cpp11::to_string(num_groups);
      _config_id += "_";
      _config_id += support::cpp11::to_string(input->info()->dimension(0));
      _config_id += "_";
      _config_id += support::cpp11::to_string(input->info()->dimension(1));
      _config_id += "_";
      _config_id += support::cpp11::to_string(input->info()->dimension(2));
      _config_id += "_";
      _config_id += support::cpp11::to_string(output->info()->dimension(0));
      _config_id += "_";
      _config_id += support::cpp11::to_string(output->info()->dimension(1));
      _config_id += "_";
      _config_id += support::cpp11::to_string(output->info()->dimension(2));
  }
  
  Status CLChannelShuffleLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, unsigned int num_groups)
  {
      ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, num_groups));
      ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first);
  
      return Status{};
  }
  
  void CLChannelShuffleLayerKernel::run(const Window &window, cl::CommandQueue &queue)
  {
      ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
      ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
  
      unsigned int idx = 0;
      add_4D_tensor_argument(idx, _input, window);
      add_4D_tensor_argument(idx, _output, window);
      enqueue(queue, *this, window, lws_hint());
  }
  } // namespace arm_compute
  