text: /*
   * Copyright (c) 2019-2020 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/CLDepthwiseConvolutionLayerReshapeWeightsKernel.h"
  
  #include "arm_compute/core/AccessWindowStatic.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/ICLKernel.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/Types.h"
  #include "arm_compute/core/Utils.h"
  #include "arm_compute/core/utils/misc/ShapeCalculator.h"
  #include "arm_compute/core/utils/quantization/AsymmHelpers.h"
  #include "support/StringSupport.h"
  
  namespace arm_compute
  {
  namespace
  {
  Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const DepthwiseConvolutionReshapeInfo &info)
  {
      ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
      const size_t idx_w = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::WIDTH);
      const size_t idx_h = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::HEIGHT);
  
      ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
      ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN(input, DataLayout::NHWC);
      ARM_COMPUTE_RETURN_ERROR_ON(info.c0 != 4);
      ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(idx_h) != 3);
      ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(idx_w) != 3);
      ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
  
      if(output->total_size() != 0)
      {
          auto reshaped_weights_shape = arm_compute::misc::shape_calculator::compute_reshaped_depthwise_weights_shape(*input, info);
          ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
          ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), reshaped_weights_shape);
          ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
      }
  
      return Status{};
  }
  
  std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, const DepthwiseConvolutionReshapeInfo &info)
  {
      auto reshaped_input_shape = arm_compute::misc::shape_calculator::compute_reshaped_depthwise_weights_shape(*input, info);
      auto_init_if_empty(*output, reshaped_input_shape, 1, input->data_type(), input->quantization_info());
  
      Window                 win = calculate_max_window(*input, Steps(info.c0));
      AccessWindowHorizontal weights_access(input, 0, info.c0);
      const bool             window_changed = update_window_and_padding(win, weights_access);
  
      output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape()));
      Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
      return std::make_pair(err, win);
  }
  } // namespace
  
  CLDepthwiseConvolutionLayerReshapeWeightsKernel::CLDepthwiseConvolutionLayerReshapeWeightsKernel()
      : _input(nullptr), _output(nullptr)
  {
  }
  
  void CLDepthwiseConvolutionLayerReshapeWeightsKernel::configure(const ICLTensor *input, ICLTensor *output, const DepthwiseConvolutionReshapeInfo &info)
  {
      configure(CLKernelLibrary::get().get_compile_context(), input, output, info);
  }
  
  void CLDepthwiseConvolutionLayerReshapeWeightsKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const DepthwiseConvolutionReshapeInfo &info)
  {
      ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
      ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), info));
      auto win_config = validate_and_configure_window(input->info(), output->info(), info);
      ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
  
      ICLKernel::configure_internal(win_config.second);
  
      _input  = input;
      _output = output;
  
      // Build the kernel
      CLBuildOptions build_opts;
      build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(info.c0));
      build_opts.add_option("-DDST_WIDTH=" + support::cpp11::to_string(_output->info()->dimension(0)));
      build_opts.add_option_if(info.transpose, "-DTRANSPOSE");
      build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(input->info()->element_size()));
  
      _kernel = create_kernel(compile_context, "depthwise_convolution_reshape_weights", build_opts.options());
  }
  
  Status CLDepthwiseConvolutionLayerReshapeWeightsKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const DepthwiseConvolutionReshapeInfo &info)
  {
      ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, info));
      ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), info).first);
      return Status{};
  }
  
  void CLDepthwiseConvolutionLayerReshapeWeightsKernel::run(const Window &window, cl::CommandQueue &queue)
  {
      ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
      ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
  
      unsigned int idx = 0;
      add_3D_tensor_argument(idx, _input, window);
      add_2D_tensor_argument(idx, _output, window);
      enqueue(queue, *this, window, lws_hint());
  }
  } // namespace arm_compute
  