Compute Library
 19.08
CLGEMMLowpMatrixMultiplyReshapedKernel Class Reference

OpenCL kernel to multiply matrices when both the input matrices LHS (input0) and RHS (input1) have been reshaped. More...

#include <CLGEMMLowpMatrixMultiplyReshapedKernel.h>

Collaboration diagram for CLGEMMLowpMatrixMultiplyReshapedKernel:
[legend]

Public Member Functions

 CLGEMMLowpMatrixMultiplyReshapedKernel ()
 Default Constructor. More...
 
 CLGEMMLowpMatrixMultiplyReshapedKernel (const CLGEMMLowpMatrixMultiplyReshapedKernel &)=delete
 Prevent instances of this class from being copied (As this class contains pointers) More...
 
CLGEMMLowpMatrixMultiplyReshapedKerneloperator= (const CLGEMMLowpMatrixMultiplyReshapedKernel &)=delete
 Prevent instances of this class from being copied (As this class contains pointers) More...
 
 CLGEMMLowpMatrixMultiplyReshapedKernel (CLGEMMLowpMatrixMultiplyReshapedKernel &&)=default
 Allow instances of this class to be moved. More...
 
CLGEMMLowpMatrixMultiplyReshapedKerneloperator= (CLGEMMLowpMatrixMultiplyReshapedKernel &&)=default
 Allow instances of this class to be moved. More...
 
void configure (const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, const GEMMReshapeInfo &gemm_info)
 Initialise the kernel's input and output. 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 *input0, const ITensorInfo *input1, const ITensorInfo *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, const GEMMReshapeInfo &gemm_info)
 Static function to check if given info will lead to a valid configuration of CLGEMMLowpMatrixMultiplyReshapedKernel. 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...
 

Detailed Description

OpenCL kernel to multiply matrices when both the input matrices LHS (input0) and RHS (input1) have been reshaped.

Note
The input matrices input0 and input1 must be reshaped through CLGEMMReshapeLHSMatrixKernel and CLGEMMReshapeRHSMatrixKernel

Definition at line 37 of file CLGEMMLowpMatrixMultiplyReshapedKernel.h.

Constructor & Destructor Documentation

◆ CLGEMMLowpMatrixMultiplyReshapedKernel() [1/3]

Default Constructor.

Definition at line 167 of file CLGEMMLowpMatrixMultiplyReshapedKernel.cpp.

168  : _input0(nullptr), _input1(nullptr), _output(nullptr), _slide_matrix_b(true), _reinterpret_output_as_3d(false), _k(1), _use_dummy_work_items(false)
169 {
170 }

◆ CLGEMMLowpMatrixMultiplyReshapedKernel() [2/3]

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

◆ CLGEMMLowpMatrixMultiplyReshapedKernel() [3/3]

Allow instances of this class to be moved.

Member Function Documentation

◆ configure()

void configure ( const ICLTensor input0,
const ICLTensor input1,
ICLTensor output,
const GEMMLHSMatrixInfo lhs_info,
const GEMMRHSMatrixInfo rhs_info,
const GEMMReshapeInfo gemm_info 
)

Initialise the kernel's input and output.

Parameters
[in]input0Input tensor containing the LHS reshaped matrix. Data type supported: QASYMM8. The number of dimensions for the LHS matrix must be less or equal than 4.
[in]input1Input tensor containing the RHS reshaped matrix. Data type supported: same as input0. The number of dimensions for the RHS matrix must be less or equal than 3.
[out]outputOutput tensor to store the result of matrix multiplication. Data type supported: same as input0
[in]lhs_infoLHS matrix information used for reshaping the input0 tensor. Only the following values are supported: lhs_info.m0: 2,3,4,5,6,7,8 lhs_info.k0: 2,3,4,8,16 lhs_info.transpose: false
[in]rhs_infoRHS matrix information used for reshaping the input1 tensor. Only the following values are supported: rhs_info.n0: 2,3,4,8,16 rhs_info.k0: same as lhs_info.k0 rhs_info.transpose: true
[in]gemm_infoGEMM information used to retrieve the original dimensions of the input matrices
Note
lhs_info.k0 must be equal to rhs_info.k0

Definition at line 172 of file CLGEMMLowpMatrixMultiplyReshapedKernel.cpp.

174 {
175  ARM_COMPUTE_ERROR_ON_NULLPTR(input0, input1, output);
176 
177  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input0->info(), input1->info(), output->info(), lhs_info, rhs_info, gemm_info));
178 
179  _input0 = input0;
180  _input1 = input1;
181  _output = output;
182  _reinterpret_output_as_3d = (gemm_info.depth_output_gemm3d() != 0);
183  _k = gemm_info.k();
184  _use_dummy_work_items = preferred_dummy_work_items_support(CLKernelLibrary::get().get_device());
185 
186  // Check if we need to slide the matrix B
187  const unsigned int num_dimensions_input0 = _input0->info()->num_dimensions();
188  _slide_matrix_b = (_input1->info()->num_dimensions() >= num_dimensions_input0);
189 
190  ElementsProcessed num_elements_processed{};
191 
192  // Configure kernel window
193  auto win_config = validate_and_configure_window(input0->info(), input1->info(), output->info(), lhs_info, rhs_info, gemm_info, num_elements_processed);
194  ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
195  ICLKernel::configure_internal(win_config.second);
196 
197  // Create build options
198  CLBuildOptions build_opts;
199  build_opts.add_option_if(_reinterpret_output_as_3d, "-DREINTERPRET_OUTPUT_AS_3D");
200  build_opts.add_option_if(_reinterpret_output_as_3d, "-DHEIGHT_GEMM3D=" + support::cpp11::to_string(output->info()->dimension(1)));
201  build_opts.add_option_if(_reinterpret_output_as_3d, "-DDEPTH_GEMM3D=" + support::cpp11::to_string(output->info()->dimension(2)));
202  build_opts.add_option_if(!_slide_matrix_b, "-DMATRIX_B_DEPTH=" + support::cpp11::to_string(input1->info()->dimension(2)));
203  build_opts.add_option_if(lhs_info.interleave, "-DLHS_INTERLEAVE");
204  build_opts.add_option_if(rhs_info.interleave, "-DRHS_INTERLEAVE");
205  build_opts.add_option_if(_use_dummy_work_items, "-DDUMMY_WORK_ITEMS");
206  build_opts.add_option("-DM=" + support::cpp11::to_string(gemm_info.m()));
207  build_opts.add_option("-DN=" + support::cpp11::to_string(gemm_info.n()));
208  build_opts.add_option("-DM0=" + support::cpp11::to_string(lhs_info.m0));
209  build_opts.add_option("-DN0=" + support::cpp11::to_string(rhs_info.n0));
210  build_opts.add_option("-DK0=" + support::cpp11::to_string(lhs_info.k0));
211  build_opts.add_option("-DV0=" + support::cpp11::to_string(lhs_info.v0));
212  build_opts.add_option("-DH0=" + support::cpp11::to_string(rhs_info.h0));
213 
214  std::string kernel_name("gemmlowp_mm_reshaped_");
215  kernel_name += lhs_info.transpose ? "lhs_t_" : "lhs_nt_";
216  kernel_name += rhs_info.transpose ? "rhs_t" : "rhs_nt";
217 
218  // Create kernel
219  _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts.options()));
220 
221  // Set config_id for enabling LWS tuning
222  _config_id = kernel_name;
223  _config_id += "_";
224  _config_id += dot8_supported(CLKernelLibrary::get().get_device()) ? "_dot8" : "";
225  _config_id += "_";
226  _config_id += (_reinterpret_output_as_3d ? "3do_" : "");
227  _config_id += support::cpp11::to_string(output->info()->dimension(1));
228  _config_id += "_";
229  _config_id += support::cpp11::to_string(output->info()->dimension(0));
230  _config_id += "_";
231  _config_id += support::cpp11::to_string(gemm_info.k());
232  _config_id += "_";
233  _config_id += support::cpp11::to_string(output->info()->dimension(2));
234  _config_id += "_";
235  _config_id += support::cpp11::to_string(lhs_info.m0);
236  _config_id += "_";
237  _config_id += support::cpp11::to_string(rhs_info.n0);
238  _config_id += "_";
239  _config_id += support::cpp11::to_string(lhs_info.k0);
240  _config_id += "_";
241  _config_id += support::cpp11::to_string(lhs_info.v0);
242  _config_id += "_";
243  _config_id += support::cpp11::to_string(rhs_info.h0);
244  _config_id += "_";
245  _config_id += support::cpp11::to_string(lhs_info.interleave);
246  _config_id += "_";
247  _config_id += support::cpp11::to_string(rhs_info.interleave);
248 }
virtual size_t num_dimensions() const =0
The number of dimensions of the tensor (rank)
bool dot8_supported(const cl::Device &device)
Helper function to check whether the cl_arm_integer_dot_product_int8 extension is supported.
Definition: CLHelpers.cpp:149
virtual size_t dimension(size_t index) const =0
Return the size of the requested dimension.
const StringSet & options() const
Gets the current options list set.
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)
unsigned int v0
Number of vertical blocks of size (m0xk0) stored on the same output row.
Definition: Types.h:1860
bool preferred_dummy_work_items_support(const cl::Device &device)
Helper function to check if "dummy work-items" are preferred to have a power of two NDRange In case d...
Definition: CLHelpers.cpp:268
std::string to_string(T &&value)
Convert integer and float values to string.
static CLKernelLibrary & get()
Access the KernelLibrary singleton.
#define ARM_COMPUTE_ERROR_THROW_ON(status)
Definition: Error.h:327
bool interleave
True if the v0 (m0xk0) blocks have to be interleaved in the output row.
Definition: Types.h:1862
void add_option(std::string option)
Adds option to the existing build option list.
bool transpose
True if the (m0xk0) block has to be transposed before been stored.
Definition: Types.h:1861
virtual ITensorInfo * info() const =0
Interface to be implemented by the child class to return the tensor's metadata.
int k() const
Number of matrix A columns or matrix B rows.
Definition: Types.h:1770
void add_option_if(bool cond, std::string option)
Adds option if a given condition is true;.
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
int depth_output_gemm3d() const
Depth (third dimension) of the output tensor to be used with the GEMM3D kernel.
Definition: Types.h:1797
unsigned int k0
Number of partial accumulations performed by the matrix multiplication.
Definition: Types.h:1859
unsigned int m0
Number of rows processed by the matrix multiplication.
Definition: Types.h:1858

References CLBuildOptions::add_option(), CLBuildOptions::add_option_if(), ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, arm_compute::create_kernel(), GEMMReshapeInfo::depth_output_gemm3d(), ITensorInfo::dimension(), arm_compute::dot8_supported(), CLKernelLibrary::get(), ITensor::info(), GEMMLHSMatrixInfo::interleave, GEMMReshapeInfo::k(), GEMMLHSMatrixInfo::k0, GEMMLHSMatrixInfo::m0, ITensorInfo::num_dimensions(), CLBuildOptions::options(), arm_compute::preferred_dummy_work_items_support(), arm_compute::support::cpp11::to_string(), GEMMLHSMatrixInfo::transpose, GEMMLHSMatrixInfo::v0, and arm_compute::validate_and_configure_window().

◆ operator=() [1/2]

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

◆ operator=() [2/2]

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 267 of file CLGEMMLowpMatrixMultiplyReshapedKernel.cpp.

268 {
271 
272  if(_input1->info()->num_dimensions() < 3)
273  {
274  // The stride_z for matrix B must be zero if we do not slice
275  ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != 0);
276  }
277 
279  Window slice_matrix_b = slice;
280 
281  slice_matrix_b.set(Window::DimX, Window::Dimension(0, 1, 1));
282  slice_matrix_b.set(Window::DimY, Window::Dimension(0, 1, 1));
283 
284  if(_reinterpret_output_as_3d)
285  {
286  // Pass bottom paddings to the kernel if the output has to be reinterpreted as 3D tensor
287  const unsigned int idx0 = 3 * num_arguments_per_2D_tensor() + 4;
288  const unsigned int total_cross_plane_pad = _output->info()->padding().top + _output->info()->padding().bottom;
289  _kernel.setArg<cl_uint>(idx0, static_cast<unsigned int>(total_cross_plane_pad));
290  }
291 
292  do
293  {
294  Window slice_b = slice;
295  // Don't slice matrix B along the z dimension if matrix B has just 2 dimensions and matrix A more than 2
296  // This scenario can happen when the matrix multiplication is used to perform a convolution operation
297  if(!_slide_matrix_b)
298  {
299  slice_b = slice_matrix_b;
300  }
301 
302  unsigned int idx = 0;
303  add_2D_tensor_argument(idx, _input0, slice);
304  add_2D_tensor_argument(idx, _input1, slice_b);
305  add_2D_tensor_argument(idx, _output, slice);
306  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_k));
307  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_input0->info()->strides_in_bytes()[2]));
308  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_input1->info()->strides_in_bytes()[2]));
309  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_output->info()->strides_in_bytes()[2]));
310  enqueue(queue, *this, slice, lws_hint(), _use_dummy_work_items);
311  }
313 }
unsigned int top
top of the border
Definition: Types.h:339
virtual size_t num_dimensions() const =0
The number of dimensions of the tensor (rank)
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:39
cl::NDRange lws_hint() const
Return the Local-Workgroup-Size hint.
Definition: ICLKernel.h:247
#define ARM_COMPUTE_ERROR_ON(cond)
If the condition is true then an error message is printed and an exception thrown.
Definition: Error.h:337
Describe one of the image's dimensions with a start, end and step.
Definition: Window.h:75
unsigned int bottom
bottom of the border
Definition: Types.h:341
static constexpr size_t DimX
Alias for dimension 0 also known as X dimension.
Definition: Window.h:43
virtual ITensorInfo * info() const =0
Interface to be implemented by the child class to return the tensor's metadata.
void set(size_t dimension, const Dimension &dim)
Set the values of a given dimension.
Definition: Window.inl:48
virtual PaddingSize padding() const =0
Padding of tensor.
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 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
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
#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)
Definition: Validate.h:205
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)

References ICLKernel::add_2D_tensor_argument(), ARM_COMPUTE_ERROR_ON, ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, BorderSize::bottom, Window::DimX, Window::DimY, arm_compute::enqueue(), Window::first_slice_window_3D(), ITensor::info(), ICLKernel::lws_hint(), ICLKernel::num_arguments_per_2D_tensor(), ITensorInfo::num_dimensions(), ITensorInfo::padding(), Window::set(), arm_compute::test::validation::reference::slice(), Window::slide_window_slice_3D(), ITensorInfo::strides_in_bytes(), BorderSize::top, and IKernel::window().

◆ validate()

Status validate ( const ITensorInfo input0,
const ITensorInfo input1,
const ITensorInfo output,
const GEMMLHSMatrixInfo lhs_info,
const GEMMRHSMatrixInfo rhs_info,
const GEMMReshapeInfo gemm_info 
)
static

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

Parameters
[in]input0Input tensor info containing the LHS reshaped matrix. Data type supported: QASYMM8. The number of dimensions for the LHS matrix must be less or equal than 4.
[in]input1Input tensor info containing the RHS reshaped matrix. Data type supported: same as input0. The number of dimensions for the RHS matrix must be less or equal than 3.
[in]outputOutput tensor info. Data type supported: same as input0
[in]lhs_infoLHS matrix information used for reshaping the input0 tensor. Only the following values are supported: lhs_info.m0: 2,3,4,5,6,7,8 lhs_info.k0: 2,3,4,8,16 lhs_info.transpose: false
[in]rhs_infoRHS matrix information used for reshaping the input1 tensor. Only the following values are supported: rhs_info.n0: 2,3,4,8,16 rhs_info.k0: 2,3,4,8,16 rhs_info.transpose: true
[in]gemm_infoGEMM information used to retrieve the original dimensions of the input matrices
Note
lhs_info.k0 must be equal to rhs_info.k0
Returns
a status

Definition at line 250 of file CLGEMMLowpMatrixMultiplyReshapedKernel.cpp.

252 {
253  ElementsProcessed num_elements_processed{};
254  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input0, input1, output, lhs_info, rhs_info, gemm_info));
256  input1->clone().get(),
257  output->clone().get(),
258  lhs_info,
259  rhs_info,
260  gemm_info,
261  num_elements_processed)
262  .first);
263 
264  return Status{};
265 }
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
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(), and arm_compute::validate_and_configure_window().


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