Compute Library
 22.11
ClGemmMatrixMultiplyReshapedOnlyRhsMMULKernel Class Reference

OpenCL kernel to multiply matrices using MMUL when only the input matrix RHS (src1) has been reshaped. More...

#include <ClGemmMatrixMultiplyReshapedOnlyRhsMMULKernel.h>

Collaboration diagram for ClGemmMatrixMultiplyReshapedOnlyRhsMMULKernel:
[legend]

Public Member Functions

 ClGemmMatrixMultiplyReshapedOnlyRhsMMULKernel ()
 
 ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE (ClGemmMatrixMultiplyReshapedOnlyRhsMMULKernel)
 
void configure (const ClCompileContext &compile_context, ITensorInfo *src0, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, float alpha, float beta, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, const GEMMKernelInfo &gemm_info)
 Initialize the kernel's input and dst. 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...
 
void add_5D_tensor_argument (unsigned int &idx, const ICLTensor *tensor, const Window &window)
 Add the passed 5D tensor's parameters to the object's kernel's arguments starting from the index idx. More...
 
void add_3d_tensor_nhw_argument (unsigned int &idx, const ICLTensor *tensor)
 Add the passed NHW 3D tensor's parameters to the object's kernel's arguments by passing strides, dimensions and the offset to the first valid element in bytes. More...
 
void add_4d_tensor_nhwc_argument (unsigned int &idx, const ICLTensor *tensor)
 Add the passed NHWC 4D tensor's parameters to the object's kernel's arguments by passing strides, dimensions and the offset to the first valid element in bytes. 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...
 
virtual void run_composite_op (ITensorPack &tensors, const Window &window, cl::CommandQueue &queue, const experimental::dynamic_fusion::ClExecutionDescriptor &exec_desc)
 The execution is carried out through run_op method. But the run_op method needs to be extended to include ClExecutionDescriptor as now LWS GWS tuning will be separated from the IKernel. 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 *src0, const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, float alpha, float beta, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, const GEMMKernelInfo &gemm_info)
 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_3d_tensor_nhw ()
 Returns the number of arguments enqueued per NHW 3D Tensor object. More...
 
static constexpr unsigned int num_arguments_per_4d_tensor_nhwc ()
 Returns the number of arguments enqueued per NHWC 4D Tensor object. More...
 
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 using MMUL when only the input matrix RHS (src1) has been reshaped.

Definition at line 39 of file ClGemmMatrixMultiplyReshapedOnlyRhsMMULKernel.h.

Constructor & Destructor Documentation

◆ ClGemmMatrixMultiplyReshapedOnlyRhsMMULKernel()

Member Function Documentation

◆ ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE()

ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE ( ClGemmMatrixMultiplyReshapedOnlyRhsMMULKernel  )

◆ configure()

void configure ( const ClCompileContext compile_context,
ITensorInfo src0,
ITensorInfo src1,
ITensorInfo src2,
ITensorInfo dst,
float  alpha,
float  beta,
const GEMMLHSMatrixInfo lhs_info,
const GEMMRHSMatrixInfo rhs_info,
const GEMMKernelInfo gemm_info 
)

Initialize the kernel's input and dst.

Parameters
[in]compile_contextThe compile context to be used.
[in]src0Input tensor for the LHS matrix. Data type supported: F16/F32.
[in]src1Input tensor containing the RHS reshaped matrix. Data type supported: same as src0.
[in]src2Input tensor containing the bias matrix. Data type supported: same as src0.
[out]dstdst tensor info. Data type supported: same as src0
[in]alphaWeight of the matrix product
[in]betaWeight of the matrix bias
[in]lhs_infoLHS matrix information used to retrieve the number of rows and accumulations to be processed by each thread. Only the following values are supported: lhs_info.m0 > 0 lhs_info.k0: 1
[in]rhs_infoRHS matrix information used to retrieve the number of columns and accumulations to be processed by each thread. Only the following values are supported: rhs_info.n0: 1,2,3,4,8,16 rhs_info.k0: same of lhs_info.k0 rhs_info.transpose: false
[in]gemm_infoGEMM information used to retrieve the original dimensions of the input matrices

Definition at line 206 of file ClGemmMatrixMultiplyReshapedOnlyRhsMMULKernel.cpp.

References ActivationLayerInfo::a(), ActivationLayerInfo::activation(), GEMMKernelInfo::activation_info, CLBuildOptions::add_option(), CLBuildOptions::add_option_if(), ARM_COMPUTE_ERROR_ON, ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, arm_compute::auto_init_if_empty(), ActivationLayerInfo::b(), GEMMKernelInfo::broadcast_bias, ICloneable< T >::clone(), arm_compute::misc::shape_calculator::compute_mm_shape(), arm_compute::create_kernel(), ITensorInfo::data_type(), ActivationLayerInfo::enabled(), GEMMRHSMatrixInfo::export_to_cl_image, arm_compute::F16, arm_compute::float_to_string_with_full_precision(), arm_compute::get_cl_type_from_data_type(), arm_compute::get_padding_info(), arm_compute::has_padding_changed(), arm_compute::helpers::float_ops::is_one(), GEMMKernelInfo::k, GEMMRHSMatrixInfo::k0, kernel_name, arm_compute::lower_string(), GEMMKernelInfo::m, GEMMLHSMatrixInfo::m0, GEMMKernelInfo::n, GEMMRHSMatrixInfo::n0, CLBuildOptions::options(), arm_compute::string_from_activation_func(), arm_compute::string_from_data_type(), arm_compute::support::cpp11::to_string(), arm_compute::upper_string(), arm_compute::cpu::kernels::validate_and_configure_window(), and arm_compute::cpu::kernels::validate_arguments().

210 {
211  ARM_COMPUTE_ERROR_ON_NULLPTR(src0, src1, dst);
212 
213  // dst tensor auto initialization if not yet initialized
214  auto_init_if_empty(*dst, src0->clone()->set_tensor_shape(misc::shape_calculator::compute_mm_shape(*src0, *src1, gemm_info)));
215 
216  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src0, src1, src2, dst, alpha, beta, lhs_info, rhs_info, gemm_info));
217 
218  auto padding_info = get_padding_info({ src0, src1, src2, dst });
219  _add_bias = src2 != nullptr;
220  _export_to_cl_image = rhs_info.export_to_cl_image;
221 
222  // Configure kernel window
223  auto win_config = validate_and_configure_window(src0, src1, src2, dst, lhs_info, rhs_info, gemm_info);
224  ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
225 
226  IClKernel::configure_internal(win_config.second);
227 
228  _m = gemm_info.m;
229  _n = gemm_info.n;
230  _k = gemm_info.k;
231 
232  const unsigned int m0_leftover = _m % lhs_info.m0;
233  const unsigned int n0_leftover = _n % rhs_info.n0;
234 
235  // Create build options
236  CLBuildOptions build_opts;
237  build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(src0->data_type()));
238  build_opts.add_option_if(!(helpers::float_ops::is_one(alpha)), "-DALPHA=" + float_to_string_with_full_precision(alpha));
239  build_opts.add_option_if(src2 != nullptr, "-DBETA=" + float_to_string_with_full_precision(beta));
240  build_opts.add_option_if(helpers::float_ops::is_one(beta), "-DUNIT_BETA");
241  build_opts.add_option_if(gemm_info.broadcast_bias, "-DBROADCAST_BIAS");
242  build_opts.add_option_if(src0->data_type() == DataType::F16, "-DHALF_PRECISION");
243  build_opts.add_option("-DM0=" + support::cpp11::to_string(lhs_info.m0));
244  build_opts.add_option("-DN0=" + support::cpp11::to_string(rhs_info.n0));
245  build_opts.add_option("-DK0=" + support::cpp11::to_string(rhs_info.k0));
246  build_opts.add_option("-DM0_LEFTOVER=" + support::cpp11::to_string(m0_leftover));
247  build_opts.add_option("-DN0_LEFTOVER=" + support::cpp11::to_string(n0_leftover));
248  build_opts.add_option("-DMMUL_M0=" + support::cpp11::to_string(mmul_m0));
249  build_opts.add_option("-DMMUL_N0=" + support::cpp11::to_string(mmul_n0));
250  build_opts.add_option("-DMMUL_K0=" + support::cpp11::to_string(mmul_k0));
251  build_opts.add_option("-DACTIVATION_TYPE=" + lower_string(string_from_activation_func(gemm_info.activation_info.activation())));
252  build_opts.add_option("-DA_VAL=" + float_to_string_with_full_precision(gemm_info.activation_info.a()));
253  build_opts.add_option("-DB_VAL=" + float_to_string_with_full_precision(gemm_info.activation_info.b()));
254 
255  std::string kernel_name("gemm_mm_reshaped_only_rhs_nt_mmul");
256  kernel_name += rhs_info.export_to_cl_image ? "_texture" : "";
257 
258  // A macro guard to compile ONLY the kernel of interest
259  build_opts.add_option("-D" + upper_string(kernel_name));
260 
261  // Create kernel
262  _kernel = create_kernel(compile_context, kernel_name, build_opts.options());
263 
264  // Set config_id for enabling LWS tuning
265  _config_id = kernel_name;
266  _config_id += "_";
267  _config_id += (_add_bias ? "add_bias_" : "");
268  _config_id += (gemm_info.broadcast_bias ? "broadcast_bias_" : "");
269  _config_id += (gemm_info.activation_info.enabled() ? "fused_activation_" : "");
270  _config_id += lower_string(string_from_data_type(src0->data_type()));
271  _config_id += "_";
272  _config_id += support::cpp11::to_string(_m);
273  _config_id += "_";
274  _config_id += support::cpp11::to_string(_n);
275  _config_id += "_";
276  _config_id += support::cpp11::to_string(_k);
277  _config_id += "_";
278  _config_id += support::cpp11::to_string(lhs_info.m0);
279  _config_id += "_";
280  _config_id += support::cpp11::to_string(rhs_info.n0);
281 
283 }
bool is_one(float a, float epsilon=0.00001f)
Checks if the input floating point number is 1.0f checking if the difference is within a range define...
Definition: float_ops.h:97
std::string to_string(T &&value)
Convert integer and float values to string.
TensorShape compute_mm_shape(const ITensorInfo &input0, const ITensorInfo &input1, bool is_interleaved_transposed, const GEMMReshapeInfo &reshape_info)
Calculate the matrix multiplication output shape of two tensors.
#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
const std::string & string_from_activation_func(ActivationLayerInfo::ActivationFunction act)
Translates a given activation function to a string.
Definition: Utils.cpp:163
#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:353
Status validate_arguments(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *dst, const PadStrideInfo &conv_info)
1 channel, 1 F16 per channel
std::string upper_string(const std::string &val)
Raise a given string to upper case.
Definition: Utils.cpp:360
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:404
const std::string & string_from_data_type(DataType dt)
Convert a data type identity into a string.
Definition: Utils.cpp:135
std::string float_to_string_with_full_precision(float val)
Create a string with the float in full precision.
Definition: Utils.h:1124
std::string get_cl_type_from_data_type(const DataType &dt)
Translates a tensor data type to the appropriate OpenCL type.
Definition: CLHelpers.cpp:39
bool auto_init_if_empty(ITensorInfo &info, const TensorShape &shape, int num_channels, DataType data_type, QuantizationInfo quantization_info=QuantizationInfo())
Auto initialize the tensor info (shape, number of channels and data type) if the current assignment i...
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:603
std::pair< Status, Window > validate_and_configure_window(ITensorInfo *src, ITensorInfo *dst)
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:588
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:157
std::string kernel_name

◆ 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 302 of file ClGemmMatrixMultiplyReshapedOnlyRhsMMULKernel.cpp.

References arm_compute::ACL_DST, arm_compute::ACL_SRC_0, arm_compute::ACL_SRC_1, arm_compute::ACL_SRC_2, ICLKernel::add_3d_tensor_nhw_argument(), ARM_COMPUTE_ERROR_ON, ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW, ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, arm_compute::create_image2d_from_buffer(), arm_compute::enqueue(), Window::first_slice_window_3D(), CLKernelLibrary::get(), ITensorPack::get_const_tensor(), ITensorPack::get_tensor(), arm_compute::test::validation::reference::slice(), Window::slide_window_slice_3D(), and IKernel::window().

303 {
306 
307  const auto src0 = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_0));
308  const auto src1 = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_1));
309  const auto src2 = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_2));
310  auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
311 
312  ARM_COMPUTE_ERROR_ON_NULLPTR(src0, src1, dst);
313  ARM_COMPUTE_ERROR_ON(_add_bias && src2 == nullptr);
314 
315  if(src1->info()->num_dimensions() < 3)
316  {
317  // The stride_z for matrix B must be zero if we do not slice
318  ARM_COMPUTE_ERROR_ON(src1->info()->strides_in_bytes()[3] != 0);
319  }
320 
321  cl::Image2D src1_image2d;
322 
323  if(_export_to_cl_image)
324  {
325  const TensorShape shape2d(src1->info()->dimension(0) / 4, src1->info()->dimension(1) * src1->info()->dimension(2));
326  const size_t image_row_pitch = src1->info()->strides_in_bytes()[1];
327 
328  src1_image2d = create_image2d_from_buffer(CLKernelLibrary::get().context(), src1->cl_buffer(), shape2d, src1->info()->data_type(), image_row_pitch);
329  }
330 
332 
333  do
334  {
335  unsigned int idx = 0;
336 
337  add_3d_tensor_nhw_argument(idx, src0);
338  if(_export_to_cl_image)
339  {
340  _kernel.setArg(idx++, src1_image2d);
341  }
342  add_3d_tensor_nhw_argument(idx, src1);
343 
344  // Bias buffer (_add_bias == true)
345  if(_add_bias)
346  {
347  add_3d_tensor_nhw_argument(idx, src2);
348  }
349  // dst buffer
350  add_3d_tensor_nhw_argument(idx, dst);
351 
352  // Pass m, n and k at runtime as signed ints, to ensure results of any subtractions they could be operand in, would still be signed.
353  _kernel.setArg<cl_int>(idx++, _m);
354  _kernel.setArg<cl_int>(idx++, _n);
355  _kernel.setArg<cl_int>(idx++, _k);
356 
357  // LWS_x should be multiple of 16 at least. (32, 2) has been chosen to have more work-items on a single core
358  // LWS also enforces the order of execution of the workitems which improves cache utilization
359  enqueue(queue, *this, slice, cl::NDRange(32, 2), false);
360  }
361  while(window.slide_window_slice_3D(slice));
362 }
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
void add_3d_tensor_nhw_argument(unsigned int &idx, const ICLTensor *tensor)
Add the passed NHW 3D tensor&#39;s parameters to the object&#39;s kernel&#39;s arguments by passing strides...
Definition: ICLKernel.cpp:119
#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.
bool slide_window_slice_3D(Window &slice) const
Slide the passed 3D window slice.
Definition: Window.h:349
#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)
Definition: Validate.h:915
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:157
cl::Image2D create_image2d_from_buffer(const cl::Context &ctx, const cl::Buffer &buffer, const TensorShape &shape2d, DataType data_type, size_t image_row_pitch)
Create a cl::Image2D object from an OpenCL buffer.
Definition: CLUtils.cpp:35
Window first_slice_window_3D() const
First 3D slice of the window.
Definition: Window.h:305
#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)
Definition: Validate.h:201
SimpleTensor< T > slice(const SimpleTensor< T > &src, Coordinates starts, Coordinates ends)

◆ validate()

Status validate ( const ITensorInfo src0,
const ITensorInfo src1,
const ITensorInfo src2,
const ITensorInfo dst,
float  alpha,
float  beta,
const GEMMLHSMatrixInfo lhs_info,
const GEMMRHSMatrixInfo rhs_info,
const GEMMKernelInfo gemm_info 
)
static

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

Similar to ClGemmMatrixMultiplyReshapedOnlyRhsMMULKernel::configure()

Returns
a status

Definition at line 285 of file ClGemmMatrixMultiplyReshapedOnlyRhsMMULKernel.cpp.

References ARM_COMPUTE_RETURN_ON_ERROR, ICloneable< T >::clone(), arm_compute::test::validation::gemm_info, arm_compute::test::validation::lhs_info, arm_compute::test::validation::rhs_info, arm_compute::cpu::kernels::validate_and_configure_window(), and arm_compute::cpu::kernels::validate_arguments().

288 {
289  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src0, src1, src2, dst, alpha, beta, lhs_info, rhs_info, gemm_info));
291  src1->clone().get(),
292  src2 != nullptr ? src2->clone().get() : nullptr,
293  dst->clone().get(),
294  lhs_info,
295  rhs_info,
296  gemm_info)
297  .first);
298 
299  return Status{};
300 }
#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 *src, const ITensorInfo *weights, const ITensorInfo *dst, const PadStrideInfo &conv_info)
std::pair< Status, Window > validate_and_configure_window(ITensorInfo *src, ITensorInfo *dst)

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