Compute Library
 19.08
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...
 
 CLIm2ColKernel (const CLIm2ColKernel &)=delete
 Prevent instances of this class from being copied (As this class contains pointers) More...
 
CLIm2ColKerneloperator= (const CLIm2ColKernel &)=delete
 Prevent instances of this class from being copied (As this class contains pointers) More...
 
 CLIm2ColKernel (CLIm2ColKernel &&)=default
 Allow instances of this class to be moved. More...
 
CLIm2ColKerneloperator= (CLIm2ColKernel &&)=default
 Allow instances of this class to be moved. More...
 
void configure (const ICLTensor *input, ICLTensor *output, 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 (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...
 
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...
 
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...
 
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<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...
 
template<unsigned int dimension_size>
void add_tensor_argument (unsigned &idx, const ICLTensor *tensor, const Window &window)
 
- 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...
 

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 of CLIm2ColKernel. 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

const ICLTensor_input
 
ICLTensor_output
 
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 56 of file CLIm2ColKernel.h.

Constructor & Destructor Documentation

◆ CLIm2ColKernel() [1/3]

Default constructor.

Definition at line 289 of file CLIm2ColKernel.cpp.

291 {
292 }
std::pair< unsigned int, unsigned int > _convolved_dims
unsigned int _num_elems_processed_per_iteration

◆ CLIm2ColKernel() [2/3]

CLIm2ColKernel ( const CLIm2ColKernel )
delete

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

◆ CLIm2ColKernel() [3/3]

CLIm2ColKernel ( CLIm2ColKernel &&  )
default

Allow instances of this class to be moved.

Member Function Documentation

◆ configure()

void configure ( const ICLTensor input,
ICLTensor output,
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]inputThe input tensor 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/F16/F32
[out]outputThe output tensor. 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 294 of file CLIm2ColKernel.cpp.

296 {
297  ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
298  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), kernel_dims, conv_info, has_bias, dilation, num_groups));
299 
300  const DataLayout data_layout = input->info()->data_layout();
303  const unsigned int input_width = input->info()->dimension(width_idx);
304  const unsigned int input_height = input->info()->dimension(height_idx);
305 
306  // Select and configure the optimal OpenCL kernel to run.
307  // This function returns the OpenCL kernel's name, the arguments to pass at compile time, the number of elements processed per iteration
308  // and the padding requirement flag
309  Im2ColConfiguration im2col_config = configure_opencl_kernel(input->info(), kernel_dims, conv_info, has_bias, dilation, num_groups);
310 
311  // Create kernel
312  _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(im2col_config.kernel_name, im2col_config.build_options));
313 
314  _input = input;
315  _output = output;
316  _convolved_dims = scaled_dimensions(input_width, input_height, kernel_dims.width, kernel_dims.height, conv_info, dilation);
317  _num_elems_processed_per_iteration = im2col_config.num_elems_processed_per_iteration;
318  _kernel_dims = kernel_dims; // Only needed by the Tuner
319  _conv_info = conv_info; // Only needed by the Tuner
321 
322  // Configure kernel window
323  auto win_config = validate_and_configure_window(input->info(), output->info(), kernel_dims, conv_info, has_bias, dilation, im2col_config.num_elems_processed_per_iteration,
324  im2col_config.is_padding_required_nchw, num_groups);
325  ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
326  ICLKernel::configure_internal(win_config.second);
327 
328  // Set config_id for enabling LWS tuning
329  _config_id = im2col_config.kernel_name;
330  _config_id += "_";
331  _config_id += lower_string(string_from_data_type(input->info()->data_type()));
332  _config_id += "_";
333  _config_id += support::cpp11::to_string(num_groups);
334  _config_id += "_";
335  _config_id += support::cpp11::to_string(output->info()->dimension(0));
336  _config_id += "_";
337  _config_id += support::cpp11::to_string(output->info()->dimension(1));
338  _config_id += "_";
339  _config_id += lower_string(string_from_data_layout(input->info()->data_layout()));
340 }
const DataLayout data_layout
Definition: Im2Col.cpp:146
virtual size_t dimension(size_t index) const =0
Return the size of the requested dimension.
std::pair< unsigned int, unsigned int > _convolved_dims
std::pair< unsigned int, unsigned int > scaled_dimensions(unsigned int width, unsigned int height, unsigned int kernel_width, unsigned 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:387
std::pair< Status, Window > validate_and_configure_window(ITensorInfo *input, ITensorInfo *weights, ITensorInfo *biases, ITensorInfo *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier, const Size2D &dilation)
std::string to_string(T &&value)
Convert integer and float values to string.
virtual DataType data_type() const =0
Data type used for each element of the tensor.
static CLKernelLibrary & get()
Access the KernelLibrary singleton.
#define ARM_COMPUTE_ERROR_THROW_ON(status)
Definition: Error.h:327
std::string lower_string(const std::string &val)
Lower a given string.
Definition: Utils.cpp:327
size_t height
Height of the image region or rectangle.
Definition: Size2D.h:93
const std::string & string_from_data_type(DataType dt)
Convert a data type identity into a string.
Definition: Utils.cpp:144
const unsigned int num_groups
Definition: Im2Col.cpp:148
virtual ITensorInfo * info() const =0
Interface to be implemented by the child class to return the tensor's metadata.
std::unique_ptr< Kernel > create_kernel()
Helper function to create and return a unique_ptr pointed to a CL/GLES kernel object.
Definition: Helpers.h:86
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:161
const std::string & string_from_data_layout(DataLayout dl)
Convert a data layout identity into a string.
Definition: Utils.cpp:132
size_t width
Width of the image region or rectangle.
Definition: Size2D.h:92
unsigned int _num_elems_processed_per_iteration
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:326
DataLayout
[DataLayout enum definition]
Definition: Types.h:114
virtual DataLayout data_layout() const =0
Get the data layout of the tensor.

References CLIm2ColKernel::_conv_info, CLIm2ColKernel::_convolved_dims, CLIm2ColKernel::_input, CLIm2ColKernel::_kernel_dims, CLIm2ColKernel::_num_elems_processed_per_iteration, CLIm2ColKernel::_num_groups, CLIm2ColKernel::_output, ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, arm_compute::test::validation::conv_info, arm_compute::create_kernel(), arm_compute::test::validation::data_layout, ITensorInfo::data_layout(), ITensorInfo::data_type(), arm_compute::test::validation::dilation, ITensorInfo::dimension(), CLKernelLibrary::get(), arm_compute::get_data_layout_dimension_index(), arm_compute::test::validation::has_bias, Size2D::height, arm_compute::HEIGHT, ITensor::info(), arm_compute::lower_string(), arm_compute::test::validation::num_groups, arm_compute::scaled_dimensions(), arm_compute::string_from_data_layout(), arm_compute::string_from_data_type(), arm_compute::support::cpp11::to_string(), arm_compute::validate_and_configure_window(), Size2D::width, and arm_compute::WIDTH.

Referenced by CLLocallyConnectedLayer::configure(), and CLGEMMConvolutionLayer::configure().

◆ operator=() [1/2]

CLIm2ColKernel& operator= ( const CLIm2ColKernel )
delete

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

◆ operator=() [2/2]

CLIm2ColKernel& operator= ( CLIm2ColKernel &&  )
default

Allow instances of this class to be moved.

◆ run()

void run ( 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]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.

Implements ICLKernel.

Definition at line 353 of file CLIm2ColKernel.cpp.

354 {
357 
358  // Get initial windows
359  // Collapse in order to have (SRC_DEPTH * BATCH_SIZE) on the 3rd dimension
361  window_collapsed.set_dimension_step(Window::DimZ, 1);
362 
363  Window window_output;
364  window_output.use_tensor_dimensions(_output->info()->tensor_shape());
365 
366  const Window first_slice_3d = window_collapsed.first_slice_window_3D();
367 
368  Window slice = first_slice_3d;
369  Window slice_in = first_slice_3d;
370  Window slice_out = window_output.first_slice_window_2D();
371 
373  {
374  const Window tmp_win = window.collapse_if_possible(ICLKernel::window(), 3);
375  const int num_batches = tmp_win[3].end();
376 
377  slice.set(1, Window::Dimension(0, static_cast<int>(_output->info()->tensor_shape()[1]), 1));
378  slice.set(2, Window::Dimension(0, static_cast<int>(num_batches), 1));
379  }
380  else
381  {
383  slice.set(1, Window::Dimension(0, static_cast<int>(_convolved_dims.second), 1));
384  // Note: In case of NCHW the 3rd dimension is already set collapsing the input window
385  }
386 
387  // Setup input slice
388  // The dimensions of the input are increased within the OpenCL kernel
389  slice_in.set(Window::DimX, Window::Dimension(0, 0, 0));
390  slice_in.set(Window::DimY, Window::Dimension(0, 0, 0));
391  slice_in.set(Window::DimZ, Window::Dimension(0, 0, 0));
392 
393  // Setup output slice
394  // The dimensions of the output are increased within the OpenCL kernel
395  slice_out.set(Window::DimX, Window::Dimension(0, 0, 0));
396  slice_out.set(Window::DimY, Window::Dimension(0, 0, 0));
397 
399  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_input->info()->strides_in_bytes()[3]));
400  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_output->info()->strides_in_bytes()[((_num_groups == 1) ? 2 : 3)]));
401  do
402  {
403  unsigned int idx = 0;
404  add_3D_tensor_argument(idx, _input, slice_in);
405  if(_num_groups == 1)
406  {
407  add_2D_tensor_argument(idx, _output, slice_out);
408  }
409  else
410  {
411  add_3D_tensor_argument(idx, _output, slice_out);
412  }
413  enqueue(queue, *this, slice, lws_hint());
414  }
415  while(window_collapsed.slide_window_slice_3D(slice) && window_output.slide_window_slice_2D(slice_out) && window_collapsed.slide_window_slice_3D(slice_in));
416 }
Window first_slice_window_2D() const
First 2D slice of the window.
Definition: Window.h:267
const Window & window() const
The maximum window the kernel can be executed on.
Definition: IKernel.cpp:28
std::pair< unsigned int, unsigned int > _convolved_dims
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:39
cl::NDRange lws_hint() const
Return the Local-Workgroup-Size hint.
Definition: ICLKernel.h:247
Describe one of the image's dimensions with a start, end and step.
Definition: Window.h:75
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.
Definition: ICLKernel.h:158
void use_tensor_dimensions(const TensorShape &shape, size_t first_dimension=Window::DimX)
Use the tensor's dimensions to fill the window dimensions.
Definition: Window.inl:250
bool slide_window_slice_2D(Window &slice) const
Slide the passed 2D window slice.
Definition: Window.h:307
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:200
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:54
virtual const TensorShape & tensor_shape() const =0
Size for each dimension of the tensor.
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:66
virtual ITensorInfo * info() const =0
Interface to be implemented by the child class to return the tensor's metadata.
#define ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(f, w)
Definition: Validate.h:183
void set(size_t dimension, const Dimension &dim)
Set the values of a given dimension.
Definition: Window.inl:48
static constexpr unsigned int num_arguments_per_2D_tensor()
Returns the number of arguments enqueued per 2D tensor object.
Definition: ICLKernel.h:192
bool slide_window_slice_3D(Window &slice) const
Slide the passed 3D window slice.
Definition: Window.h:319
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:153
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.
Definition: ICLKernel.h:134
static constexpr size_t DimZ
Alias for dimension 2 also known as Z dimension.
Definition: Window.h:47
Num samples, height, width, channels.
unsigned int _num_elems_processed_per_iteration
virtual const Strides & strides_in_bytes() const =0
The strides in bytes for accessing each dimension of the tensor.
Window first_slice_window_3D() const
First 3D slice of the window.
Definition: Window.h:275
Describe a multidimensional execution window.
Definition: Window.h:39
#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)
Definition: Validate.h:940
SimpleTensor< T > slice(const SimpleTensor< T > &src, Coordinates starts, Coordinates ends)
virtual DataLayout data_layout() const =0
Get the data layout of the tensor.

References CLIm2ColKernel::_convolved_dims, CLIm2ColKernel::_input, CLIm2ColKernel::_num_elems_processed_per_iteration, CLIm2ColKernel::_num_groups, CLIm2ColKernel::_output, ICLKernel::add_2D_tensor_argument(), ICLKernel::add_3D_tensor_argument(), ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, arm_compute::ceil_to_multiple(), Window::collapse_if_possible(), ITensorInfo::data_layout(), Window::DimX, Window::DimY, Window::DimZ, arm_compute::enqueue(), Window::first_slice_window_2D(), Window::first_slice_window_3D(), ITensor::info(), 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(), Window::slide_window_slice_3D(), ITensorInfo::strides_in_bytes(), ITensorInfo::tensor_shape(), Window::use_tensor_dimensions(), and IKernel::window().

◆ 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 of CLIm2ColKernel.

Parameters
[in]inputThe input tensor 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/F16/F32
[in]outputThe output tensor. 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
Returns
a status

Definition at line 342 of file CLIm2ColKernel.cpp.

344 {
345  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, kernel_dims, conv_info, has_bias, dilation, num_groups));
346  Im2ColConfiguration im2col_config = configure_opencl_kernel(input, kernel_dims, conv_info, has_bias, dilation, num_groups);
347  ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), kernel_dims, conv_info, has_bias, dilation, im2col_config.num_elems_processed_per_iteration,
348  im2col_config.is_padding_required_nchw, num_groups)
349  .first);
350  return Status{};
351 }
std::pair< Status, Window > validate_and_configure_window(ITensorInfo *input, ITensorInfo *weights, ITensorInfo *biases, ITensorInfo *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier, const Size2D &dilation)
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:193
Status class.
Definition: Error.h:52
const unsigned int num_groups
Definition: Im2Col.cpp:148
virtual std::unique_ptr< T > clone() const =0
Provide a clone of the current object of class T.

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

Referenced by CLLocallyConnectedLayer::validate(), and CLGEMMConvolutionLayer::validate().

Field Documentation

◆ _conv_info

PadStrideInfo _conv_info

Definition at line 109 of file CLIm2ColKernel.h.

Referenced by CLIm2ColKernel::configure().

◆ _convolved_dims

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

Definition at line 106 of file CLIm2ColKernel.h.

Referenced by CLIm2ColKernel::configure(), and CLIm2ColKernel::run().

◆ _input

const ICLTensor* _input

Definition at line 104 of file CLIm2ColKernel.h.

Referenced by CLIm2ColKernel::configure(), and CLIm2ColKernel::run().

◆ _kernel_dims

Size2D _kernel_dims

Definition at line 108 of file CLIm2ColKernel.h.

Referenced by CLIm2ColKernel::configure().

◆ _num_elems_processed_per_iteration

unsigned int _num_elems_processed_per_iteration

Definition at line 107 of file CLIm2ColKernel.h.

Referenced by CLIm2ColKernel::configure(), and CLIm2ColKernel::run().

◆ _num_groups

unsigned int _num_groups

Definition at line 110 of file CLIm2ColKernel.h.

Referenced by CLIm2ColKernel::configure(), and CLIm2ColKernel::run().

◆ _output

ICLTensor* _output

Definition at line 105 of file CLIm2ColKernel.h.

Referenced by CLIm2ColKernel::configure(), and CLIm2ColKernel::run().


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