Compute Library
 21.02
CLFFTScaleKernel Class Reference

Interface for the inverse fft scale kernel. More...

#include <CLFFTScaleKernel.h>

Collaboration diagram for CLFFTScaleKernel:
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Public Member Functions

 CLFFTScaleKernel ()
 Constructor. More...
 
 CLFFTScaleKernel (const CLFFTScaleKernel &)=delete
 Prevent instances of this class from being copied (As this class contains pointers) More...
 
CLFFTScaleKerneloperator= (const CLFFTScaleKernel &)=delete
 Prevent instances of this class from being copied (As this class contains pointers) More...
 
 CLFFTScaleKernel (CLFFTScaleKernel &&)=default
 Default Move Constructor. More...
 
CLFFTScaleKerneloperator= (CLFFTScaleKernel &&)=default
 Default move assignment operator. More...
 
 ~CLFFTScaleKernel ()=default
 Default destructor. More...
 
void configure (ICLTensor *input, ICLTensor *output, const FFTScaleKernelInfo &config)
 Set the input and output tensors. More...
 
void configure (const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const FFTScaleKernelInfo &config)
 Set the input and output tensors. 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 *input, const ITensorInfo *output, const FFTScaleKernelInfo &config)
 Static function to check if given info will lead to a valid configuration of CLFFTScaleKernel. 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

Interface for the inverse fft scale kernel.

Definition at line 37 of file CLFFTScaleKernel.h.

Constructor & Destructor Documentation

◆ CLFFTScaleKernel() [1/3]

Constructor.

Definition at line 74 of file CLFFTScaleKernel.cpp.

75  : _input(nullptr), _output(nullptr), _run_in_place(false)
76 {
77 }

◆ CLFFTScaleKernel() [2/3]

CLFFTScaleKernel ( const CLFFTScaleKernel )
delete

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

◆ CLFFTScaleKernel() [3/3]

Default Move Constructor.

◆ ~CLFFTScaleKernel()

~CLFFTScaleKernel ( )
default

Default destructor.

Member Function Documentation

◆ configure() [1/2]

void configure ( ICLTensor input,
ICLTensor output,
const FFTScaleKernelInfo config 
)

Set the input and output tensors.

Parameters
[in,out]inputSource tensor. Data types supported: F16/F32.
[out]outputDestination tensor. Data type supported: same as input
[in]configKernel configuration

Definition at line 79 of file CLFFTScaleKernel.cpp.

References CLKernelLibrary::get().

80 {
81  configure(CLKernelLibrary::get().get_compile_context(), input, output, config);
82 }
static CLKernelLibrary & get()
Access the KernelLibrary singleton.
void configure(ICLTensor *input, ICLTensor *output, const FFTScaleKernelInfo &config)
Set the input and output tensors.

◆ configure() [2/2]

void configure ( const CLCompileContext compile_context,
ICLTensor input,
ICLTensor output,
const FFTScaleKernelInfo config 
)

Set the input and output tensors.

Parameters
[in]compile_contextThe compile context to be used.
[in,out]inputSource tensor. Data types supported: F16/F32.
[out]outputDestination tensor. Data type supported: same as input
[in]configKernel configuration

Definition at line 84 of file CLFFTScaleKernel.cpp.

References CLBuildOptions::add_option(), CLBuildOptions::add_option_if(), ARM_COMPUTE_ERROR_ON, ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, FFTScaleKernelInfo::conjugate, arm_compute::create_kernel(), ITensorInfo::data_type(), ITensorInfo::dimension(), arm_compute::get_cl_type_from_data_type(), arm_compute::get_padding_info(), arm_compute::has_padding_changed(), ITensor::info(), arm_compute::test::validation::input, kernel_name, arm_compute::lower_string(), ICLKernel::num_arguments_per_3D_tensor(), ITensorInfo::num_channels(), CLBuildOptions::options(), FFTScaleKernelInfo::scale, arm_compute::string_from_data_type(), arm_compute::support::cpp11::to_string(), and arm_compute::validate_arguments().

85 {
87  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), (output != nullptr) ? output->info() : nullptr));
88  auto padding_info = get_padding_info({ input, output });
89 
90  _input = input;
91  _output = output;
92  _run_in_place = (output == nullptr) || (output == input);
93 
94  // Create kernel
95  CLBuildOptions build_opts;
96  build_opts.add_option_if(_run_in_place, "-DIN_PLACE");
97  build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(output != nullptr ? output->info()->num_channels() : input->info()->num_channels()));
98  build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
99  build_opts.add_option_if(config.conjugate, "-DCONJ");
100  std::string kernel_name = "fft_scale_conj";
101  _kernel = create_kernel(compile_context, kernel_name, build_opts.options());
102 
103  // Set static arguments
104  unsigned int idx = (1 + (_run_in_place ? 0 : 1)) * num_arguments_per_3D_tensor(); // Skip the input and output parameters
105  _kernel.setArg<cl_float>(idx, config.scale);
106 
107  // Configure kernel window
108  auto win_config = validate_and_configure_window(input->info(), _run_in_place ? nullptr : output->info());
109  ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
110  ICLKernel::configure_internal(win_config.second);
111 
112  // Set config_id for enabling LWS tuning
113  _config_id = kernel_name;
114  _config_id += "_";
115  _config_id += lower_string(string_from_data_type(input->info()->data_type()));
116  _config_id += "_";
117  _config_id += support::cpp11::to_string(input->info()->dimension(0));
118  _config_id += "_";
119  _config_id += support::cpp11::to_string(input->info()->dimension(1));
121 }
std::string to_string(T &&value)
Convert integer and float values to string.
#define ARM_COMPUTE_ERROR_ON(cond)
If the condition is true then an error message is printed and an exception thrown.
Definition: Error.h:466
#define ARM_COMPUTE_ERROR_THROW_ON(status)
Definition: Error.h:455
std::string lower_string(const std::string &val)
Lower a given string.
Definition: Utils.cpp:350
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
const std::string & string_from_data_type(DataType dt)
Convert a data type identity into a string.
Definition: Utils.cpp:135
static constexpr unsigned int num_arguments_per_3D_tensor()
Returns the number of arguments enqueued per 3D tensor object.
Definition: ICLKernel.h:214
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
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]

CLFFTScaleKernel& operator= ( const CLFFTScaleKernel )
delete

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

◆ operator=() [2/2]

CLFFTScaleKernel& operator= ( CLFFTScaleKernel &&  )
default

Default move assignment operator.

◆ 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 132 of file CLFFTScaleKernel.cpp.

References ICLKernel::add_3D_tensor_argument(), ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, Window::collapse_if_possible(), Window::DimZ, arm_compute::enqueue(), Window::first_slice_window_3D(), ICLKernel::lws_hint(), arm_compute::test::validation::reference::slice(), Window::slide_window_slice_3D(), and IKernel::window().

133 {
136 
138  Window slice = collapsed.first_slice_window_3D();
139 
140  do
141  {
142  unsigned int idx = 0;
143  add_3D_tensor_argument(idx, _input, slice);
144  if(!_run_in_place)
145  {
146  add_3D_tensor_argument(idx, _output, slice);
147  }
148  enqueue(queue, *this, slice, lws_hint());
149  }
150  while(collapsed.slide_window_slice_3D(slice));
151 }
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
void add_3D_tensor_argument(unsigned int &idx, const ICLTensor *tensor, const Window &window)
Add the passed 3D tensor&#39;s parameters to the object&#39;s kernel&#39;s arguments starting from the index idx...
Definition: ICLKernel.h:172
Window collapse_if_possible(const Window &full_window, size_t first, size_t last, bool *has_collapsed=nullptr) const
Collapse the dimensions between first and last if possible.
Definition: Window.inl:68
#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)
Definition: Validate.h:941
static constexpr size_t DimZ
Alias for dimension 2 also known as Z dimension.
Definition: Window.h:47
#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 input,
const ITensorInfo output,
const FFTScaleKernelInfo config 
)
static

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

Parameters
[in]inputSource tensor info. Data types supported: F16/F32.
[in]outputDestination tensor info. Data type supported: same as input
[in]configKernel configuration
Returns
a status

Definition at line 123 of file CLFFTScaleKernel.cpp.

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

124 {
125  ARM_COMPUTE_UNUSED(config);
127  ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first);
128 
129  return Status{};
130 }
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:204
#define ARM_COMPUTE_UNUSED(...)
To avoid unused variables warnings.
Definition: Error.h:152
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: