arm_compute::CLPadLayerKernelEx Class Reference

#include <CLPadLayerKernelEx.h>

Collaboration diagram for arm_compute::CLPadLayerKernelEx:

Public Member Functions
	CLPadLayerKernelEx ()
	CLPadLayerKernelEx (const CLPadLayerKernelEx &)=delete
CLPadLayerKernelEx &	operator= (const CLPadLayerKernelEx &)=delete
	CLPadLayerKernelEx (CLPadLayerKernelEx &&)=default
CLPadLayerKernelEx &	operator= (CLPadLayerKernelEx &&)=default
	~CLPadLayerKernelEx ()=default
void	configure (const ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value=PixelValue(), PaddingMode mode=PaddingMode::CONSTANT)
void	configure (const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value=PixelValue(), PaddingMode mode=PaddingMode::CONSTANT)
void	run (const Window &window, cl::CommandQueue &queue) override

Static Public Member Functions
static Status	validate (const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, PixelValue constant_value=PixelValue(), PaddingMode mode=PaddingMode::CONSTANT)

Detailed Description

Interface for the PadLayer function.

Definition at line 51 of file CLPadLayerKernelEx.h.

Constructor & Destructor Documentation

CLPadLayerKernelEx() [1/3]

arm_compute::CLPadLayerKernelEx::CLPadLayerKernelEx

(

)

Default constructor

Definition at line 126 of file CLPadLayerKernelEx.cpp.

  : _input(nullptr), _output(nullptr), _input_start_x(0), _input_start_y(0), _4d_enabled(false)
{
}

CLPadLayerKernelEx() [2/3]

arm_compute::CLPadLayerKernelEx::CLPadLayerKernelEx ( const CLPadLayerKernelEx &  )

delete

Prevent instances of this class from being copied (As this class contains pointers)

CLPadLayerKernelEx() [3/3]

arm_compute::CLPadLayerKernelEx::CLPadLayerKernelEx ( CLPadLayerKernelEx &&  )

default

Allow instances of this class to be moved

~CLPadLayerKernelEx()

arm_compute::CLPadLayerKernelEx::~CLPadLayerKernelEx ( )

default

Default destructor

References validate().

Member Function Documentation

configure() [1/2]

void arm_compute::CLPadLayerKernelEx::configure	(	const CLCompileContext &	compile_context,
		const ICLTensor *	input,
		ICLTensor *	output,
		const PaddingList &	padding,
		PixelValue	constant_value = PixelValue(),
		PaddingMode	mode = PaddingMode::CONSTANT
	)

Set the input and output tensor.

Parameters

[in]	compile_context	The compile context to be used.
[in]	input	Source tensor. Data types supported: All.
[out]	output	Output tensor. Data type supported: same as input
[in]	padding	The padding for each spatial dimension of the input tensor. The pair padding[i] specifies the front and the end padding in the i-th dimension.
[in]	constant_value	(Optional) Constant value to be used for the padding.
[in]	mode	(Optional) Controls whether the padding should be filled with constant_value using CONSTANT, or reflect the input, either including the border values (SYMMETRIC) or not (REFLECT).

Definition at line 139 of file CLPadLayerKernelEx.cpp.

{
  ARM_COMPUTE_UNUSED(compile_context);
  // Perform validation step
  ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
  ARM_COMPUTE_ERROR_THROW_ON(
    validate_arguments(input->info(), output->info(), padding, constant_value, mode));
 
  _input = input;
  _output = output;
  _4d_enabled = (mode == PaddingMode::CONSTANT) && (padding.size() > 3);
 
  // Configure window
  unsigned int vec_size;
  auto win_config = validate_and_configure_window(input->info(), output->info(), padding,
                                                  constant_value, mode, vec_size);
  ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
  ICLKernel::configure_internal(win_config.second);
 
  // Set build options
  std::string kernel_name = "pad_layer_";
 
  const DataType &data_type = input->info()->data_type();
  const unsigned int input_width = input->info()->dimension(0);
  const unsigned int input_height = input->info()->dimension(1);
  const unsigned int input_depth = input->info()->dimension(2);
  const unsigned int pad_x_before = padding.at(0).first;
  const unsigned int pad_y_before = padding.size() > 1 ? padding.at(1).first : 0;
  const unsigned int pad_z_before = padding.size() > 2 ? padding.at(2).first : 0;
  const unsigned int pad_right_start = input_width + pad_x_before;
 
  _input_start_x = mode == PaddingMode::CONSTANT ? -(pad_x_before % vec_size) : 0;
  _input_start_y = (mode == PaddingMode::CONSTANT && padding.size() > 1) ? -padding.at(1).first : 0;
 
  CLBuildOptions build_opts;
  build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type));
  build_opts.add_option("-DSELECT_DT=" + get_cl_select_type_from_data_type(data_type));
  build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size));
  build_opts.add_option("-DPAD_X_BEFORE=" + support::cpp11::to_string(pad_x_before));
  build_opts.add_option("-DSRC_WIDTH=" + support::cpp11::to_string(input_width));
  if (padding.size() > 1)
  {
    build_opts.add_option("-DPAD_Y_BEFORE=" + support::cpp11::to_string(pad_y_before));
    build_opts.add_option("-DSRC_HEIGHT=" + support::cpp11::to_string(input_height));
 
    if (padding.size() > 2)
    {
      build_opts.add_option("-DPAD_Z_BEFORE=" + support::cpp11::to_string(pad_z_before));
      build_opts.add_option("-DSRC_DEPTH=" + support::cpp11::to_string(input_depth));
    }
  }
 
  switch (mode)
  {
    case PaddingMode::CONSTANT:
    {
      kernel_name += "constant";
 
      build_opts.add_option("-DCONST_VAL=" + string_from_pixel_value(constant_value, data_type));
      build_opts.add_option_if(pad_x_before >= vec_size,
                               "-DNUM_THREADS_TO_SKIP_X=" +
                                 support::cpp11::to_string(pad_x_before / vec_size));
 
      if (_4d_enabled)
      {
        build_opts.add_option("-DPAD_W_BEFORE=" + support::cpp11::to_string(padding.at(3).first));
        build_opts.add_option("-DSRC_BATCH=" +
                              support::cpp11::to_string(input->info()->dimension(3)));
      }
 
      break;
    }
    case PaddingMode::SYMMETRIC:
    case PaddingMode::REFLECT:
    {
      kernel_name += "symmetric_reflect";
 
      const auto is_reflect = static_cast<unsigned int>(mode == PaddingMode::REFLECT);
 
      const unsigned int pad_x_before_remainder = pad_x_before % vec_size;
      const unsigned int pad_x_after_remainder = pad_right_start % vec_size;
      const unsigned int after_pad_fact_x = (2 * input_width + pad_x_before) - is_reflect;
      const unsigned int output_last_x =
        ceil_to_multiple(pad_right_start + padding.at(0).second, vec_size);
 
      build_opts.add_option("-DIS_REFLECT=" + support::cpp11::to_string(is_reflect));
      build_opts.add_option("-DPAD_X_BEFORE_REMAINDER=" +
                            support::cpp11::to_string(pad_x_before_remainder));
      build_opts.add_option("-DPAD_X_AFTER_REMAINDER=" +
                            support::cpp11::to_string(pad_x_after_remainder));
      build_opts.add_option(
        "-DPAD_X_BEFORE_REMAINDER_REFL=" +
        support::cpp11::to_string((pad_x_before_remainder + is_reflect) % vec_size));
      build_opts.add_option(
        "-DPAD_X_AFTER_REMAINDER_REFL=" +
        support::cpp11::to_string((pad_x_after_remainder - is_reflect) % vec_size));
      build_opts.add_option("-DAFTER_PAD_FACT_X=" + support::cpp11::to_string(after_pad_fact_x));
      build_opts.add_option_if(after_pad_fact_x < output_last_x,
                               "-DAFTER_PAD_REM=" +
                                 support::cpp11::to_string(after_pad_fact_x % vec_size));
 
      break;
    }
    default:
      ARM_COMPUTE_ERROR("Padding mode not supported.");
  }
 
  // Create kernel
  _kernel = static_cast<cl::Kernel>(
    CLKernelLibraryEx::get().create_kernel(kernel_name, build_opts.options()));
}

References arm_compute::CLKernelLibraryEx::create_kernel(), and arm_compute::CLKernelLibraryEx::get().

configure() [2/2]

void arm_compute::CLPadLayerKernelEx::configure	(	const ICLTensor *	input,
		ICLTensor *	output,
		const PaddingList &	padding,
		PixelValue	constant_value = PixelValue(),
		PaddingMode	mode = PaddingMode::CONSTANT
	)

Set the input and output tensor.

Parameters

[in]	input	Source tensor. Data types supported: U8, S8, QASYMM8, QASYMM8_SIGNED, U16, S16, U32, S32, F16, F32.
[out]	output	Output tensor. Data type supported: same as input
[in]	padding	The padding for each spatial dimension of the input tensor. The pair padding[i] specifies the front and the end padding in the i-th dimension.
[in]	constant_value	(Optional) Constant value to be used for the padding.
[in]	mode	(Optional) Controls whether the padding should be filled with constant_value using CONSTANT, or reflect the input, either including the border values (SYMMETRIC) or not (REFLECT).

Definition at line 131 of file CLPadLayerKernelEx.cpp.

{
  configure(CLKernelLibrary::get().get_compile_context(), input, output, padding, constant_value,
            mode);
}

References configure().

Referenced by configure().

operator=() [1/2]

CLPadLayerKernelEx & arm_compute::CLPadLayerKernelEx::operator= ( CLPadLayerKernelEx &&  )

default

Allow instances of this class to be moved

operator=() [2/2]

CLPadLayerKernelEx & arm_compute::CLPadLayerKernelEx::operator= ( const CLPadLayerKernelEx &  )

delete

Prevent instances of this class from being copied (As this class contains pointers)

run()

void arm_compute::CLPadLayerKernelEx::run ( const Window &  window, cl::CommandQueue &  queue  )

override

Definition at line 267 of file CLPadLayerKernelEx.cpp.

{
  ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
  ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
 
  Window win_in = window;
  win_in.adjust(Window::DimX, _input_start_x, true);
  win_in.adjust(Window::DimY, _input_start_y, true);
 
  Window slice_out = window.first_slice_window_3D();
  Window slice_in = win_in.first_slice_window_3D();
  unsigned int batch = 0;
  do
  {
    unsigned int idx = 0;
    add_3D_tensor_argument(idx, _input, slice_in);
    add_3D_tensor_argument(idx, _output, slice_out);
    if (_4d_enabled)
    {
      add_argument<unsigned int>(idx, batch++);
    }
 
    enqueue(queue, *this, slice_out, lws_hint());
  } while (window.slide_window_slice_3D(slice_out) && win_in.slide_window_slice_3D(slice_in));
}

Referenced by package.infer.session::inference().

validate()

Status arm_compute::CLPadLayerKernelEx::validate ( const ITensorInfo *  input, const ITensorInfo *  output, const PaddingList &  padding, PixelValue  constant_value = PixelValue(), PaddingMode  mode = PaddingMode::CONSTANT  )

static

Static function to check if given info will lead to a valid configuration of CLPadLayerKernelEx

Parameters

[in]	input	Source tensor info. Data types supported: U8, S8, QASYMM8, QASYMM8_SIGNED, U16, S16, U32, S32, F16, F32.
[in]	output	Output tensor info. Data type supported: same as input
[in]	padding	The padding for each spatial dimension of the input tensor. The pair padding[i] specifies the front and the end padding in the i-th dimension.
[in]	constant_value	(Optional) Constant value to be used for the padding.
[in]	mode	(Optional) Controls whether the padding should be filled with constant_value using CONSTANT, or reflect the input, either including the border values (SYMMETRIC) or not (REFLECT).

Definition at line 253 of file CLPadLayerKernelEx.cpp.

{
  unsigned int vec_size;
  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, padding, constant_value, mode));
  ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(),
                                                            output->clone().get(), padding,
                                                            constant_value, mode, vec_size)
                                .first);
 
  return Status{};
}

Referenced by arm_compute::CLPadLayerEx::validate(), and ~CLPadLayerKernelEx().

---

The documentation for this class was generated from the following files:

• compute/ARMComputeEx/arm_compute/core/CL/kernels/CLPadLayerKernelEx.h
• compute/ARMComputeEx/src/core/CL/kernels/CLPadLayerKernelEx.cpp