Compute Library
 21.08
ClIm2ColKernel Class Reference

Interface for the im2col reshape kernel. More...

#include <ClIm2ColKernel.h>

Collaboration diagram for ClIm2ColKernel:
[legend]

Public Member Functions

 ClIm2ColKernel ()
 Default constructor. More...
 
 ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE (ClIm2ColKernel)
 
void configure (const ClCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, const Size2D &dilation=Size2D(1U, 1U), unsigned int num_groups=1)
 Set the input and output of the kernel. More...
 
void run_op (ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override
 Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue. More...
 
- Public Member Functions inherited from ICLKernel
 ICLKernel ()
 Constructor. More...
 
cl::Kernel & kernel ()
 Returns a reference to the OpenCL kernel of this object. More...
 
CLKernelType type () const
 Returns the CL kernel type. More...
 
template<typename T >
void add_1D_array_argument (unsigned int &idx, const ICLArray< T > *array, const Strides &strides, unsigned int num_dimensions, const Window &window)
 Add the passed 1D array's parameters to the object's kernel's arguments starting from the index idx. More...
 
void add_1D_tensor_argument (unsigned int &idx, const ICLTensor *tensor, const Window &window)
 Add the passed 1D tensor's parameters to the object's kernel's arguments starting from the index idx. More...
 
void add_1D_tensor_argument_if (bool cond, unsigned int &idx, const ICLTensor *tensor, const Window &window)
 Add the passed 1D tensor's parameters to the object's kernel's arguments starting from the index idx if the condition is true. More...
 
void add_2D_tensor_argument (unsigned int &idx, const ICLTensor *tensor, const Window &window)
 Add the passed 2D tensor's parameters to the object's kernel's arguments starting from the index idx. More...
 
void add_2D_tensor_argument_if (bool cond, unsigned int &idx, const ICLTensor *tensor, const Window &window)
 Add the passed 2D tensor's parameters to the object's kernel's arguments starting from the index idx if the condition is true. More...
 
void add_3D_tensor_argument (unsigned int &idx, const ICLTensor *tensor, const Window &window)
 Add the passed 3D tensor's parameters to the object's kernel's arguments starting from the index idx. More...
 
void add_4D_tensor_argument (unsigned int &idx, const ICLTensor *tensor, const Window &window)
 Add the passed 4D tensor's parameters to the object's kernel's arguments starting from the index idx. More...
 
virtual void run (const Window &window, cl::CommandQueue &queue)
 Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue. More...
 
template<typename T >
void add_argument (unsigned int &idx, T value)
 Add the passed parameters to the object's kernel's arguments starting from the index idx. More...
 
void set_lws_hint (const cl::NDRange &lws_hint)
 Set the Local-Workgroup-Size hint. More...
 
cl::NDRange lws_hint () const
 Return the Local-Workgroup-Size hint. More...
 
void set_wbsm_hint (const cl_int &wbsm_hint)
 Set the workgroup batch size modifier hint. More...
 
cl_int wbsm_hint () const
 Return the workgroup batch size modifier hint. More...
 
const std::string & config_id () const
 Get the configuration ID. More...
 
void set_target (GPUTarget target)
 Set the targeted GPU architecture. More...
 
void set_target (cl::Device &device)
 Set the targeted GPU architecture according to the CL device. More...
 
GPUTarget get_target () const
 Get the targeted GPU architecture. More...
 
size_t get_max_workgroup_size ()
 Get the maximum workgroup size for the device the CLKernelLibrary uses. More...
 
template<unsigned int dimension_size>
void add_tensor_argument (unsigned &idx, const ICLTensor *tensor, const Window &window)
 
template<typename T , unsigned int dimension_size>
void add_array_argument (unsigned &idx, const ICLArray< T > *array, const Strides &strides, unsigned int num_dimensions, const Window &window)
 Add the passed array's parameters to the object's kernel's arguments starting from the index idx. More...
 
- Public Member Functions inherited from IKernel
 IKernel ()
 Constructor. More...
 
virtual ~IKernel ()=default
 Destructor. More...
 
virtual bool is_parallelisable () const
 Indicates whether or not the kernel is parallelisable. More...
 
virtual BorderSize border_size () const
 The size of the border for that kernel. More...
 
const Windowwindow () const
 The maximum window the kernel can be executed on. More...
 
bool is_window_configured () const
 Function to check if the embedded window of this kernel has been configured. More...
 

Static Public Member Functions

static Status validate (const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, const Size2D &dilation=Size2D(1U, 1U), unsigned int num_groups=1)
 Static function to check if given info will lead to a valid configuration. More...
 
- Static Public Member Functions inherited from ICLKernel
static constexpr unsigned int num_arguments_per_1D_array ()
 Returns the number of arguments enqueued per 1D array object. More...
 
static constexpr unsigned int num_arguments_per_1D_tensor ()
 Returns the number of arguments enqueued per 1D tensor object. More...
 
static constexpr unsigned int num_arguments_per_2D_tensor ()
 Returns the number of arguments enqueued per 2D tensor object. More...
 
static constexpr unsigned int num_arguments_per_3D_tensor ()
 Returns the number of arguments enqueued per 3D tensor object. More...
 
static constexpr unsigned int num_arguments_per_4D_tensor ()
 Returns the number of arguments enqueued per 4D tensor object. More...
 
static cl::NDRange gws_from_window (const Window &window)
 Get the global work size given an execution window. More...
 

Data Fields

DataLayout _data_layout
 
std::pair< unsigned int, unsigned int > _convolved_dims
 
unsigned int _num_elems_processed_per_iteration
 
Size2D _kernel_dims
 
PadStrideInfo _conv_info
 
unsigned int _num_groups
 

Detailed Description

Interface for the im2col reshape kernel.

Rearranges image blocks into columns. It is used to strip out each convolution block to a single column. It is used to transform a convolution to a plain matrix multiplication.

For example taking into account the image below and assuming 3x3 image blocks with stride of 1 we have:

\[ \left( \begin{array}{cccc} a00 & a01 & a02 & a03 \\ a10 & a11 & a12 & a13 \\ a20 & a21 & a22 & a23 \\ a30 & a31 & a32 & a33 \\ \end{array} \right) = \left( \begin{array}{ccccccccc} a00 & a01 & a02 & a10 & a11 & a12 & a20 & a21 & a22 \\ a01 & a02 & a03 & a11 & a12 & a13 & a21 & a22 & a23 \\ a10 & a11 & a12 & a20 & a21 & a22 & a30 & a31 & a32 \\ a11 & a12 & a13 & a21 & a22 & a23 & a31 & a32 & a33 \\ \end{array} \right) \]

Definition at line 61 of file ClIm2ColKernel.h.

Constructor & Destructor Documentation

◆ ClIm2ColKernel()

Member Function Documentation

◆ ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE()

ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE ( ClIm2ColKernel  )

◆ configure()

void configure ( const ClCompileContext compile_context,
ITensorInfo src,
ITensorInfo dst,
const Size2D kernel_dims,
const PadStrideInfo conv_info,
bool  has_bias,
const Size2D dilation = Size2D(1U, 1U),
unsigned int  num_groups = 1 
)

Set the input and output of the kernel.

Parameters
[in]compile_contextThe compile context to be used.
[in]srcThe input tensor info to convert. 3 lower dimensions represent a single input [width, height, IFM], while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32
[out]dstThe output tensor info. First 2 lower dimensions represent a transform of each 3D input, while every dimension above represents a batch. Data types supported: Same as input
[in]kernel_dimsThe kernel dimensions (width and height).
[in]conv_infoContains padding and stride information described in PadStrideInfo.
[in]has_biasIn case biases are provided expands the matrix with 1.
[in]dilation(Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
[in]num_groups(Optional) Number of groups when performing a grouped convolution. num_groups != 1 is only supported for NCHW data layout

Definition at line 298 of file ClIm2ColKernel.cpp.

References ClIm2ColKernel::_conv_info, ClIm2ColKernel::_convolved_dims, ClIm2ColKernel::_data_layout, ClIm2ColKernel::_kernel_dims, ClIm2ColKernel::_num_elems_processed_per_iteration, ClIm2ColKernel::_num_groups, ARM_COMPUTE_ERROR_ON, ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, arm_compute::test::validation::conv_info, arm_compute::create_kernel(), ITensorInfo::data_layout(), ITensorInfo::data_type(), ITensorInfo::dimension(), arm_compute::get_data_layout_dimension_index(), arm_compute::get_padding_info(), arm_compute::has_padding_changed(), Size2D::height, arm_compute::HEIGHT, input_height, input_width, arm_compute::lower_string(), arm_compute::NHWC, arm_compute::test::validation::num_groups, arm_compute::scaled_dimensions(), arm_compute::test::validation::src, arm_compute::string_from_data_layout(), arm_compute::string_from_data_type(), arm_compute::support::cpp11::to_string(), Size2D::width, and arm_compute::WIDTH.

301 {
303  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, kernel_dims, conv_info, has_bias, dilation, num_groups));
304 
305  auto padding_info = get_padding_info({ src, dst });
306  _data_layout = src->data_layout();
307 
308  const unsigned int width_idx = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::WIDTH);
309  const unsigned int height_idx = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::HEIGHT);
310  const unsigned int input_width = src->dimension(width_idx);
311  const unsigned int input_height = src->dimension(height_idx);
312 
313  // Select and configure the optimal OpenCL kernel to run.
314  // This function returns the OpenCL kernel's name, the arguments to pass at compile time, the number of elements processed per iteration
315  // and the padding requirement flag
316  Im2ColConfiguration im2col_config = configure_opencl_kernel(src, kernel_dims, conv_info, has_bias, dilation, num_groups);
317 
318  // Create kernel
319  _kernel = create_kernel(compile_context, im2col_config.kernel_name, im2col_config.build_options);
320 
321  _convolved_dims = scaled_dimensions(input_width, input_height, kernel_dims.width, kernel_dims.height, conv_info, dilation);
322  _num_elems_processed_per_iteration = im2col_config.num_elems_processed_per_iteration;
323  _kernel_dims = kernel_dims; // Only needed by the Tuner
324  _conv_info = conv_info; // Only needed by the Tuner
326 
327  // Configure kernel window
328  auto win_config = validate_and_configure_window(src, dst, kernel_dims, conv_info, has_bias, dilation, im2col_config.num_elems_processed_per_iteration,
329  im2col_config.is_padding_required_nchw, num_groups);
330  ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
331  IClKernel::configure_internal(win_config.second);
332 
333  // Set config_id for enabling LWS tuning
334  _config_id = im2col_config.kernel_name;
335  _config_id += "_";
336  _config_id += lower_string(string_from_data_type(src->data_type()));
337  _config_id += "_";
338  _config_id += support::cpp11::to_string(num_groups);
339  _config_id += "_";
340  _config_id += support::cpp11::to_string(dst->dimension(0));
341  _config_id += "_";
342  _config_id += support::cpp11::to_string(dst->dimension(1));
343  _config_id += "_";
344  _config_id += lower_string(string_from_data_layout(_data_layout));
345 
346  ARM_COMPUTE_ERROR_ON(src->data_layout() == DataLayout::NHWC && has_padding_changed(padding_info));
347 }
std::string to_string(T &&value)
Convert integer and float values to string.
#define ARM_COMPUTE_ERROR_ON(cond)
If the condition is true then an error message is printed and an exception thrown.
Definition: Error.h:466
#define ARM_COMPUTE_ERROR_THROW_ON(status)
Definition: Error.h:455
std::string lower_string(const std::string &val)
Lower a given string.
Definition: Utils.cpp:326
SimpleTensor< float > src
Definition: DFT.cpp:155
std::pair< unsigned int, unsigned int > scaled_dimensions(int width, int height, int kernel_width, int kernel_height, const PadStrideInfo &pad_stride_info, const Size2D &dilation=Size2D(1U, 1U))
Returns expected width and height of output scaled tensor depending on dimensions rounding mode...
Definition: Utils.cpp:395
cl::Kernel create_kernel(const CLCompileContext &ctx, const std::string &kernel_name, const std::set< std::string > &build_opts=std::set< std::string >())
Creates an opencl kernel using a compile context.
Definition: CLHelpers.cpp:391
const size_t input_width
const std::string & string_from_data_type(DataType dt)
Convert a data type identity into a string.
Definition: Utils.cpp:135
const unsigned int num_groups
Definition: Im2Col.cpp:153
bool has_padding_changed(const std::unordered_map< const ITensorInfo *, PaddingSize > &padding_map)
Check if the previously stored padding info has changed after configuring a kernel.
Definition: Utils.cpp:533
const std::string & string_from_data_layout(DataLayout dl)
Convert a data layout identity into a string.
Definition: Utils.cpp:123
Num samples, height, width, channels.
const size_t input_height
std::unordered_map< const ITensorInfo *, PaddingSize > get_padding_info(std::initializer_list< const ITensorInfo *> infos)
Stores padding information before configuring a kernel.
Definition: Utils.cpp:518
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:157
size_t get_data_layout_dimension_index(const DataLayout data_layout, const DataLayoutDimension data_layout_dimension)
Get the index of the given dimension.
Definition: Helpers.inl:193
std::pair< unsigned int, unsigned int > _convolved_dims

◆ run_op()

void run_op ( ITensorPack tensors,
const Window window,
cl::CommandQueue &  queue 
)
overridevirtual

Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue.

Note
The queue is not flushed by this method, and therefore the kernel will not have been executed by the time this method returns.
Parameters
[in]tensorsA vector containing the tensors to operato on.
[in]windowRegion on which to execute the kernel. (Must be a valid region of the window returned by window()).
[in,out]queueCommand queue on which to enqueue the kernel.

Reimplemented from ICLKernel.

Definition at line 360 of file ClIm2ColKernel.cpp.

References ClIm2ColKernel::_convolved_dims, ClIm2ColKernel::_data_layout, ClIm2ColKernel::_num_elems_processed_per_iteration, ClIm2ColKernel::_num_groups, arm_compute::ACL_DST, arm_compute::ACL_SRC, ICLKernel::add_2D_tensor_argument(), ICLKernel::add_3D_tensor_argument(), ARM_COMPUTE_ERROR_ON, ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS, ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, arm_compute::ceil_to_multiple(), Window::collapse_if_possible(), Window::DimX, Window::DimY, Window::DimZ, arm_compute::test::validation::dst, ITensorPack::empty(), arm_compute::enqueue(), Window::first_slice_window_2D(), Window::first_slice_window_3D(), ITensorPack::get_const_tensor(), ITensorPack::get_tensor(), ICLKernel::lws_hint(), arm_compute::NHWC, ICLKernel::num_arguments_per_2D_tensor(), ICLKernel::num_arguments_per_3D_tensor(), Window::set(), Window::set_dimension_step(), arm_compute::test::validation::reference::slice(), Window::slide_window_slice_2D(), arm_compute::test::validation::src, Window::use_tensor_dimensions(), and IKernel::window().

361 {
364  ARM_COMPUTE_ERROR_ON(tensors.empty());
365 
366  // Get initial windows
367  // Collapse in order to have (SRC_DEPTH * BATCH_SIZE) on the 3rd dimension
368  Window window_collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
369  window_collapsed.set_dimension_step(Window::DimZ, 1);
370 
371  auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
372  auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
374 
375  Window window_output;
376  window_output.use_tensor_dimensions(dst->info()->tensor_shape());
377 
378  const Window first_slice_3d = window_collapsed.first_slice_window_3D();
379 
380  Window slice = first_slice_3d;
381  Window slice_in = first_slice_3d;
382  Window slice_out = window_output.first_slice_window_2D();
383 
385  {
386  const Window tmp_win = window.collapse_if_possible(ICLKernel::window(), 3);
387  const int num_batches = tmp_win[3].end();
388 
389  slice.set(1, Window::Dimension(0, static_cast<int>(dst->info()->tensor_shape()[1]), 1));
390  slice.set(2, Window::Dimension(0, static_cast<int>(num_batches), 1));
391  }
392  else
393  {
394  slice.set(0, Window::Dimension(0, static_cast<int>(ceil_to_multiple(_convolved_dims.first, _num_elems_processed_per_iteration)), _num_elems_processed_per_iteration));
395  slice.set(1, Window::Dimension(0, static_cast<int>(_convolved_dims.second), 1));
396  // Note: In case of NCHW the 3rd dimension is already set collapsing the input window
397  }
398 
399  // Setup input slice
400  // The dimensions of the input are increased within the OpenCL kernel
401  slice_in.set(Window::DimX, Window::Dimension(0, 0, 0));
402  slice_in.set(Window::DimY, Window::Dimension(0, 0, 0));
403  slice_in.set(Window::DimZ, Window::Dimension(0, 0, 0));
404 
405  // Setup output slice
406  // The dimensions of the output are increased within the OpenCL kernel
407  slice_out.set(Window::DimX, Window::Dimension(0, 0, 0));
408  slice_out.set(Window::DimY, Window::Dimension(0, 0, 0));
409 
411  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(src->info()->strides_in_bytes()[3]));
412  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(dst->info()->strides_in_bytes()[((_num_groups == 1) ? 2 : 3)]));
413  do
414  {
415  unsigned int idx = 0;
416  add_3D_tensor_argument(idx, src, slice_in);
417  if(_num_groups == 1)
418  {
419  add_2D_tensor_argument(idx, dst, slice_out);
420  }
421  else
422  {
423  add_3D_tensor_argument(idx, dst, slice_out);
424  }
425  enqueue(queue, *this, slice, lws_hint());
426  }
427  while(window_collapsed.slide_window_slice_3D(slice) && window_output.slide_window_slice_2D(slice_out) && window_collapsed.slide_window_slice_3D(slice_in));
428 }
const Window & window() const
The maximum window the kernel can be executed on.
Definition: IKernel.cpp:28
void enqueue(cl::CommandQueue &queue, ICLKernel &kernel, const Window &window, const cl::NDRange &lws_hint=CLKernelLibrary::get().default_ndrange(), bool use_dummy_work_items=false)
Add the kernel to the command queue with the given window.
Definition: ICLKernel.cpp:32
cl::NDRange lws_hint() const
Return the Local-Workgroup-Size hint.
Definition: ICLKernel.h:318
#define ARM_COMPUTE_ERROR_ON(cond)
If the condition is true then an error message is printed and an exception thrown.
Definition: Error.h:466
void add_3D_tensor_argument(unsigned int &idx, const ICLTensor *tensor, const Window &window)
Add the passed 3D tensor&#39;s parameters to the object&#39;s kernel&#39;s arguments starting from the index idx...
Definition: ICLKernel.h:214
SimpleTensor< float > src
Definition: DFT.cpp:155
static constexpr size_t DimX
Alias for dimension 0 also known as X dimension.
Definition: Window.h:43
static constexpr unsigned int num_arguments_per_3D_tensor()
Returns the number of arguments enqueued per 3D tensor object.
Definition: ICLKernel.h:256
#define ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(f, w)
Definition: Validate.h:179
Window collapse_if_possible(const Window &full_window, size_t first, size_t last, bool *has_collapsed=nullptr) const
Collapse the dimensions between first and last if possible.
Definition: Window.inl:68
auto ceil_to_multiple(S value, T divisor) -> decltype(((value+divisor - 1)/divisor) *divisor)
Computes the smallest number larger or equal to value that is a multiple of divisor.
Definition: Utils.h:71
void set(size_t dimension, const Dimension &dim)
Set the values of a given dimension.
Definition: Window.inl:49
static constexpr unsigned int num_arguments_per_2D_tensor()
Returns the number of arguments enqueued per 2D tensor object.
Definition: ICLKernel.h:248
#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)
Definition: Validate.h:915
static constexpr size_t DimY
Alias for dimension 1 also known as Y dimension.
Definition: Window.h:45
void set_dimension_step(size_t dimension, int step)
Set the step of a given dimension.
Definition: Window.inl:167
void add_2D_tensor_argument(unsigned int &idx, const ICLTensor *tensor, const Window &window)
Add the passed 2D tensor&#39;s parameters to the object&#39;s kernel&#39;s arguments starting from the index idx...
Definition: ICLKernel.h:190
static constexpr size_t DimZ
Alias for dimension 2 also known as Z dimension.
Definition: Window.h:47
Num samples, height, width, channels.
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:157
std::pair< unsigned int, unsigned int > _convolved_dims
SimpleTensor< T > slice(const SimpleTensor< T > &src, Coordinates starts, Coordinates ends)

◆ validate()

Status validate ( const ITensorInfo input,
const ITensorInfo output,
const Size2D kernel_dims,
const PadStrideInfo conv_info,
bool  has_bias,
const Size2D dilation = Size2D(1U, 1U),
unsigned int  num_groups = 1 
)
static

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

Similar to ClIm2ColKernel::configure()

Returns
a status

Definition at line 349 of file ClIm2ColKernel.cpp.

References ARM_COMPUTE_RETURN_ON_ERROR, ICloneable< T >::clone(), arm_compute::test::validation::conv_info, arm_compute::test::validation::has_bias, and arm_compute::test::validation::num_groups.

Referenced by ClGemmConvolution::validate().

351 {
352  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, kernel_dims, conv_info, has_bias, dilation, num_groups));
353  Im2ColConfiguration im2col_config = configure_opencl_kernel(src, kernel_dims, conv_info, has_bias, dilation, num_groups);
354  ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(src->clone().get(), dst->clone().get(), kernel_dims, conv_info, has_bias, dilation, im2col_config.num_elems_processed_per_iteration,
355  im2col_config.is_padding_required_nchw, num_groups)
356  .first);
357  return Status{};
358 }
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:204
SimpleTensor< float > src
Definition: DFT.cpp:155
const unsigned int num_groups
Definition: Im2Col.cpp:153

Field Documentation

◆ _conv_info

PadStrideInfo _conv_info

Definition at line 100 of file ClIm2ColKernel.h.

Referenced by ClIm2ColKernel::configure().

◆ _convolved_dims

std::pair<unsigned int, unsigned int> _convolved_dims

Definition at line 97 of file ClIm2ColKernel.h.

Referenced by ClIm2ColKernel::configure(), and ClIm2ColKernel::run_op().

◆ _data_layout

DataLayout _data_layout

Definition at line 96 of file ClIm2ColKernel.h.

Referenced by ClIm2ColKernel::configure(), and ClIm2ColKernel::run_op().

◆ _kernel_dims

Size2D _kernel_dims

Definition at line 99 of file ClIm2ColKernel.h.

Referenced by ClIm2ColKernel::configure().

◆ _num_elems_processed_per_iteration

unsigned int _num_elems_processed_per_iteration

Definition at line 98 of file ClIm2ColKernel.h.

Referenced by ClIm2ColKernel::configure(), and ClIm2ColKernel::run_op().

◆ _num_groups

unsigned int _num_groups

Definition at line 101 of file ClIm2ColKernel.h.

Referenced by ClIm2ColKernel::configure(), and ClIm2ColKernel::run_op().


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