Compute Library
 21.02
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:
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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 configure (const CLCompileContext &compile_context, 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...
 
virtual void run_op (ITensorPack &tensors, 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...
 

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 130 of file CLGEMMLowpMatrixMultiplyReshapedKernel.cpp.

131  : _input0(nullptr), _input1(nullptr), _output(nullptr), _slide_matrix_b(true), _reinterpret_output_as_3d(false), _k(1), _use_dummy_work_items(false)
132 {
133 }

◆ 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() [1/2]

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/QASYMM8_SIGNED. 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: S32
[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 135 of file CLGEMMLowpMatrixMultiplyReshapedKernel.cpp.

References CLKernelLibrary::get().

137 {
138  configure(CLKernelLibrary::get().get_compile_context(), input0, input1, output, lhs_info, rhs_info, gemm_info);
139 }
static CLKernelLibrary & get()
Access the KernelLibrary singleton.
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&#39;s input and output.

◆ configure() [2/2]

void configure ( const CLCompileContext compile_context,
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]compile_contextThe compile context to be used.
[in]input0Input tensor containing the LHS reshaped matrix. Data type supported: QASYMM8/QASYMM8_SIGNED. 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: S32
[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 141 of file CLGEMMLowpMatrixMultiplyReshapedKernel.cpp.

References CLBuildOptions::add_option(), CLBuildOptions::add_option_if(), ARM_COMPUTE_ERROR_ON, ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, arm_compute::create_kernel(), ITensorInfo::data_type(), GEMMReshapeInfo::depth_output_gemm3d(), ITensorInfo::dimension(), arm_compute::dot8_supported(), CLKernelLibrary::get(), arm_compute::get_cl_dot8_acc_type_from_data_type(), arm_compute::get_cl_type_from_data_type(), arm_compute::get_padding_info(), arm_compute::has_padding_changed(), ITensor::info(), GEMMLHSMatrixInfo::interleave, GEMMReshapeInfo::k(), GEMMLHSMatrixInfo::k0, kernel_name, 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_arguments().

144 {
145  ARM_COMPUTE_ERROR_ON_NULLPTR(input0, input1, output);
146 
147  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input0->info(), input1->info(), output->info(), lhs_info, rhs_info, gemm_info));
148 
149  _input0 = input0;
150  _input1 = input1;
151  _output = output;
152  _reinterpret_output_as_3d = (gemm_info.depth_output_gemm3d() != 0);
153  _k = gemm_info.k();
154  _use_dummy_work_items = preferred_dummy_work_items_support(CLKernelLibrary::get().get_device());
155 
156  // Check if we need to slide the matrix B
157  const unsigned int num_dimensions_input0 = _input0->info()->num_dimensions();
158  _slide_matrix_b = (_input1->info()->num_dimensions() >= num_dimensions_input0);
159 
160  auto padding_info = get_padding_info({ input0, input1, output });
161  ElementsProcessed num_elements_processed{};
162 
163  // Configure kernel window
164  auto win_config = validate_and_configure_window(input0->info(), input1->info(), output->info(), lhs_info, rhs_info, gemm_info, num_elements_processed);
165  ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
166  ICLKernel::configure_internal(win_config.second);
167 
168  // Calculate partial (store instead of load) M0 and partial N0 for the partial blocks at the end of a row/column if any. This is to avoid padding.
169  const unsigned int internal_m = _reinterpret_output_as_3d ? gemm_info.m() : output->info()->dimension(1);
170 
171  const unsigned int partial_store_m0 = internal_m % lhs_info.m0;
172  const unsigned int partial_store_n0 = gemm_info.n() % rhs_info.n0;
173 
174  // Create build options
175  CLBuildOptions build_opts;
176  build_opts.add_option_if(_reinterpret_output_as_3d, "-DREINTERPRET_OUTPUT_AS_3D");
177  build_opts.add_option_if(_reinterpret_output_as_3d, "-DHEIGHT_GEMM3D=" + support::cpp11::to_string(output->info()->dimension(1)));
178  build_opts.add_option_if(_reinterpret_output_as_3d, "-DDEPTH_GEMM3D=" + support::cpp11::to_string(output->info()->dimension(2)));
179  build_opts.add_option_if(!_slide_matrix_b, "-DMATRIX_B_DEPTH=" + support::cpp11::to_string(input1->info()->dimension(2)));
180  build_opts.add_option_if(lhs_info.interleave, "-DLHS_INTERLEAVE");
181  build_opts.add_option_if(rhs_info.interleave, "-DRHS_INTERLEAVE");
182  build_opts.add_option_if(_use_dummy_work_items, "-DDUMMY_WORK_ITEMS");
183  build_opts.add_option("-DM=" + support::cpp11::to_string(gemm_info.m()));
184  build_opts.add_option("-DN=" + support::cpp11::to_string(gemm_info.n()));
185  build_opts.add_option("-DM0=" + support::cpp11::to_string(lhs_info.m0));
186  build_opts.add_option("-DN0=" + support::cpp11::to_string(rhs_info.n0));
187  build_opts.add_option("-DK0=" + support::cpp11::to_string(lhs_info.k0));
188  build_opts.add_option("-DV0=" + support::cpp11::to_string(lhs_info.v0));
189  build_opts.add_option("-DH0=" + support::cpp11::to_string(rhs_info.h0));
190  build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input0->info()->data_type()));
191  build_opts.add_option("-DACC_DATA_TYPE=" + get_cl_dot8_acc_type_from_data_type(input0->info()->data_type()));
192  build_opts.add_option("-DPARTIAL_STORE_M0=" + support::cpp11::to_string(partial_store_m0));
193  build_opts.add_option("-DPARTIAL_STORE_N0=" + support::cpp11::to_string(partial_store_n0));
194 
195  std::string kernel_name("gemmlowp_mm_reshaped_");
196  kernel_name += lhs_info.transpose ? "lhs_t_" : "lhs_nt_";
197  kernel_name += rhs_info.transpose ? "rhs_t" : "rhs_nt";
198 
199  // Create kernel
200  _kernel = create_kernel(compile_context, kernel_name, build_opts.options());
201 
202  // Set config_id for enabling LWS tuning
203  _config_id = kernel_name;
204  _config_id += "_";
205  _config_id += dot8_supported(CLKernelLibrary::get().get_device()) ? "_dot8" : "";
206  _config_id += "_";
207  _config_id += (_reinterpret_output_as_3d ? "3do_" : "");
208  _config_id += support::cpp11::to_string(output->info()->dimension(1));
209  _config_id += "_";
210  _config_id += support::cpp11::to_string(output->info()->dimension(0));
211  _config_id += "_";
212  _config_id += support::cpp11::to_string(gemm_info.k());
213  _config_id += "_";
214  _config_id += support::cpp11::to_string(output->info()->dimension(2));
215  _config_id += "_";
216  _config_id += support::cpp11::to_string(lhs_info.m0);
217  _config_id += "_";
218  _config_id += support::cpp11::to_string(rhs_info.n0);
219  _config_id += "_";
220  _config_id += support::cpp11::to_string(lhs_info.k0);
221  _config_id += "_";
222  _config_id += support::cpp11::to_string(lhs_info.v0);
223  _config_id += "_";
224  _config_id += support::cpp11::to_string(rhs_info.h0);
225  _config_id += "_";
226  _config_id += support::cpp11::to_string(lhs_info.interleave);
227  _config_id += "_";
228  _config_id += support::cpp11::to_string(rhs_info.interleave);
229 
231 }
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:239
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:361
std::string get_cl_dot8_acc_type_from_data_type(const DataType &dt)
Translates a tensor data type to the appropriate OpenCL dot8 accumulator type.
Definition: CLHelpers.cpp:173
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
static CLKernelLibrary & get()
Access the KernelLibrary singleton.
#define ARM_COMPUTE_ERROR_THROW_ON(status)
Definition: Error.h:455
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:403
std::string kernel_name
std::string get_cl_type_from_data_type(const DataType &dt)
Translates a tensor data type to the appropriate OpenCL type.
Definition: CLHelpers.cpp:37
virtual ITensorInfo * info() const =0
Interface to be implemented by the child class to return the tensor&#39;s metadata.
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:528
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:513
Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const GEMMLowpOutputStageInfo *output_stage)
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:161

◆ 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.

Reimplemented from ICLKernel.

Definition at line 250 of file CLGEMMLowpMatrixMultiplyReshapedKernel.cpp.

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().

251 {
254 
255  if(_input1->info()->num_dimensions() < 3)
256  {
257  // The stride_z for matrix B must be zero if we do not slice
258  ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != 0);
259  }
260 
262  Window slice_matrix_b = slice;
263 
264  slice_matrix_b.set(Window::DimX, Window::Dimension(0, 1, 1));
265  slice_matrix_b.set(Window::DimY, Window::Dimension(0, 1, 1));
266 
267  if(_reinterpret_output_as_3d)
268  {
269  // Pass bottom paddings to the kernel if the output has to be reinterpreted as 3D tensor
270  const unsigned int idx0 = 3 * num_arguments_per_2D_tensor() + 4;
271  const unsigned int total_cross_plane_pad = _output->info()->padding().top + _output->info()->padding().bottom;
272  _kernel.setArg<cl_uint>(idx0, static_cast<unsigned int>(total_cross_plane_pad));
273  }
274 
275  do
276  {
277  Window slice_b = slice;
278  // Don't slice matrix B along the z dimension if matrix B has just 2 dimensions and matrix A more than 2
279  // This scenario can happen when the matrix multiplication is used to perform a convolution operation
280  if(!_slide_matrix_b)
281  {
282  slice_b = slice_matrix_b;
283  }
284 
285  unsigned int idx = 0;
286  add_2D_tensor_argument(idx, _input0, slice);
287  add_2D_tensor_argument(idx, _input1, slice_b);
288  add_2D_tensor_argument(idx, _output, slice);
289  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_k));
290  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_input0->info()->strides_in_bytes()[2]));
291  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_input1->info()->strides_in_bytes()[2]));
292  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_output->info()->strides_in_bytes()[2]));
293  enqueue(queue, *this, slice, lws_hint(), _use_dummy_work_items);
294  }
295  while(window.slide_window_slice_3D(slice));
296 }
unsigned int top
top of the border
Definition: Types.h:375
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(IGCKernel &kernel, const Window &window, const gles::NDRange &lws=gles::NDRange(1U, 1U, 1U))
Add the kernel to the command queue with the given window.
Definition: IGCKernel.cpp:41
cl::NDRange lws_hint() const
Return the Local-Workgroup-Size hint.
Definition: ICLKernel.h:276
#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
unsigned int bottom
bottom of the border
Definition: Types.h:377
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&#39;s metadata.
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:206
bool slide_window_slice_3D(Window &slice) const
Slide the passed 3D window slice.
Definition: Window.h:335
#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)
Definition: Validate.h:941
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&#39;s parameters to the object&#39;s kernel&#39;s arguments starting from the index idx...
Definition: ICLKernel.h:148
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:291
#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)
Definition: Validate.h:205
SimpleTensor< T > slice(const SimpleTensor< T > &src, Coordinates starts, Coordinates ends)

◆ 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/QASYMM8_SIGNED. 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: S32
[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 233 of file CLGEMMLowpMatrixMultiplyReshapedKernel.cpp.

References ARM_COMPUTE_RETURN_ON_ERROR, ICloneable< T >::clone(), and arm_compute::validate_arguments().

235 {
236  ElementsProcessed num_elements_processed{};
237  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input0, input1, output, lhs_info, rhs_info, gemm_info));
238  ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input0->clone().get(),
239  input1->clone().get(),
240  output->clone().get(),
241  lhs_info,
242  rhs_info,
243  gemm_info,
244  num_elements_processed)
245  .first);
246 
247  return Status{};
248 }
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:204
Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const GEMMLowpOutputStageInfo *output_stage)

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