Compute Library
 19.08
CLSpaceToBatchLayerKernel Class Reference

Interface for the space to batch kernel. More...

#include <CLSpaceToBatchLayerKernel.h>

Collaboration diagram for CLSpaceToBatchLayerKernel:
[legend]

Public Member Functions

 CLSpaceToBatchLayerKernel ()
 Default constructor. More...
 
 CLSpaceToBatchLayerKernel (const CLSpaceToBatchLayerKernel &)=delete
 Prevent instances of this class from being copied (As this class contains pointers) More...
 
CLSpaceToBatchLayerKerneloperator= (const CLSpaceToBatchLayerKernel &)=delete
 Prevent instances of this class from being copied (As this class contains pointers) More...
 
 CLSpaceToBatchLayerKernel (CLSpaceToBatchLayerKernel &&)=default
 Allow instances of this class to be moved. More...
 
CLSpaceToBatchLayerKerneloperator= (CLSpaceToBatchLayerKernel &&)=default
 Allow instances of this class to be moved. More...
 
 ~CLSpaceToBatchLayerKernel ()=default
 Default destructor. More...
 
void configure (const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)
 Initialise the kernel's inputs and output. More...
 
void configure (const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ICLTensor *output)
 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 *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output)
 Static function to check if given info will lead to a valid configuration of CLSpaceToBatchLayerKernel. More...
 
static Status validate (const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, const ITensorInfo *output)
 Static function to check if given info will lead to a valid configuration of CLSpaceToBatchLayerKernel (Static block shape and paddings) 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 space to batch kernel.

Definition at line 35 of file CLSpaceToBatchLayerKernel.h.

Constructor & Destructor Documentation

◆ CLSpaceToBatchLayerKernel() [1/3]

Default constructor.

Definition at line 85 of file CLSpaceToBatchLayerKernel.cpp.

86  : _input(nullptr), _block_shape(nullptr), _paddings(nullptr), _output(nullptr)
87 {
88 }

◆ CLSpaceToBatchLayerKernel() [2/3]

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

◆ CLSpaceToBatchLayerKernel() [3/3]

Allow instances of this class to be moved.

◆ ~CLSpaceToBatchLayerKernel()

Default destructor.

Member Function Documentation

◆ configure() [1/2]

void configure ( const ICLTensor input,
const ICLTensor block_shape,
const ICLTensor paddings,
ICLTensor output 
)

Initialise the kernel's inputs and output.

Parameters
[in]inputTensor input. Supported tensor rank: 4. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
[in]block_shape1-D tensor with shape [M]. Data types supported: S32
[in]paddings2-D tensor with shape [2, M]. Data types supported: S32
[out]outputTensor output. Data types supported: same as input

Definition at line 90 of file CLSpaceToBatchLayerKernel.cpp.

91 {
92  ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
93  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), block_shape->info(), paddings->info(), output->info()));
94 
95  _input = input;
96  _block_shape = block_shape;
97  _paddings = paddings;
98  _output = output;
99 
100  const DataLayout data_layout = input->info()->data_layout();
104 
105  // Create kernel
106  CLBuildOptions build_opts;
107  build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
108  build_opts.add_option("-DWIDTH_OUT=" + support::cpp11::to_string(output->info()->dimension(idx_width)));
109  build_opts.add_option("-DHEIGHT_OUT=" + support::cpp11::to_string(output->info()->dimension(idx_height)));
110  build_opts.add_option("-DBATCH_SIZE=" + support::cpp11::to_string(output->info()->dimension(idx_batch)));
111  build_opts.add_option("-DWIDTH_IN=" + support::cpp11::to_string(input->info()->dimension(idx_width)));
112  build_opts.add_option("-DHEIGHT_IN=" + support::cpp11::to_string(input->info()->dimension(idx_height)));
113  build_opts.add_option("-DBATCH_IN=" + support::cpp11::to_string(input->info()->dimension(idx_batch)));
114  _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("space_to_batch_" + lower_string(string_from_data_layout(input->info()->data_layout())), build_opts.options()));
115 
116  // Configure kernel window
117  Window win = calculate_max_window(*output->info(), Steps());
118  ICLKernel::configure_internal(win);
119 }
const DataLayout data_layout
Definition: Im2Col.cpp:146
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
std::string lower_string(const std::string &val)
Lower a given string.
Definition: Utils.cpp:327
Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())
Calculate the maximum window for a given tensor shape and border setting.
Definition: Helpers.cpp:28
std::string get_cl_type_from_data_type(const DataType &dt)
Translates a tensor data type to the appropriate OpenCL type.
Definition: CLHelpers.cpp:35
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 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

References CLBuildOptions::add_option(), ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, arm_compute::BATCHES, arm_compute::calculate_max_window(), arm_compute::create_kernel(), arm_compute::test::validation::data_layout, ITensorInfo::data_layout(), ITensorInfo::data_type(), ITensorInfo::dimension(), CLKernelLibrary::get(), arm_compute::get_cl_type_from_data_type(), arm_compute::get_data_layout_dimension_index(), arm_compute::HEIGHT, ITensor::info(), arm_compute::lower_string(), CLBuildOptions::options(), arm_compute::string_from_data_layout(), arm_compute::support::cpp11::to_string(), and arm_compute::WIDTH.

Referenced by CLSpaceToBatchLayer::configure().

◆ configure() [2/2]

void configure ( const ICLTensor input,
const int  block_shape_x,
const int  block_shape_y,
const Size2D padding_left,
const Size2D padding_right,
ICLTensor output 
)

Initialise the kernel's input and output.

(Static block shape and paddings)

Parameters
[in]inputTensor input. Supported tensor rank: 4. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
[in]block_shape_xBlock shape x value.
[in]block_shape_yBlock shape y value.
[in]padding_leftThe left padding of the output tensor.
[in]padding_rightThe right padding of the output tensor.
[out]outputTensor output. Data types supported: same as input

Definition at line 121 of file CLSpaceToBatchLayerKernel.cpp.

123 {
124  ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
125 
126  TensorShape output_shape = misc::shape_calculator::compute_space_to_batch_shape(input->info(), block_shape_x, block_shape_y, padding_left, padding_right);
127  auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->quantization_info());
128 
129  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments_static(input->info(), block_shape_x, block_shape_y, padding_left, padding_right, output->info()));
130 
131  _input = input;
132  _output = output;
133 
134  const DataLayout data_layout = input->info()->data_layout();
138 
139  // Create kernel
140  CLBuildOptions build_opts;
141  build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
142  build_opts.add_option("-DWIDTH_OUT=" + support::cpp11::to_string(output->info()->dimension(idx_width)));
143  build_opts.add_option("-DHEIGHT_OUT=" + support::cpp11::to_string(output->info()->dimension(idx_height)));
144  build_opts.add_option("-DBATCH_SIZE=" + support::cpp11::to_string(output->info()->dimension(idx_batch)));
145  build_opts.add_option("-DWIDTH_IN=" + support::cpp11::to_string(input->info()->dimension(idx_width)));
146  build_opts.add_option("-DHEIGHT_IN=" + support::cpp11::to_string(input->info()->dimension(idx_height)));
147  build_opts.add_option("-DBATCH_IN=" + support::cpp11::to_string(input->info()->dimension(idx_batch)));
148  build_opts.add_option("-DBLOCK_SHAPE_X=" + support::cpp11::to_string(block_shape_x));
149  build_opts.add_option("-DBLOCK_SHAPE_Y=" + support::cpp11::to_string(block_shape_y));
150  build_opts.add_option("-DPAD_LEFT_X=" + support::cpp11::to_string(padding_left.x()));
151  build_opts.add_option("-DPAD_RIGHT_X=" + support::cpp11::to_string(padding_right.x()));
152  build_opts.add_option("-DPAD_LEFT_Y=" + support::cpp11::to_string(padding_left.y()));
153  build_opts.add_option("-DPAD_RIGHT_Y=" + support::cpp11::to_string(padding_right.y()));
154  _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("space_to_batch_static_" + lower_string(string_from_data_layout(input->info()->data_layout())), build_opts.options()));
155 
156  // Configure kernel window
157  Window win = calculate_max_window(*output->info(), Steps());
158  ICLKernel::configure_internal(win);
159 }
const DataLayout data_layout
Definition: Im2Col.cpp:146
std::string to_string(T &&value)
Convert integer and float values to string.
TensorShape compute_space_to_batch_shape(const ITensorInfo *input, const int block_x, const int block_y, const Size2D &padding_left, const Size2D &padding_right)
Calculate the space to batch output shape of a 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
Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())
Calculate the maximum window for a given tensor shape and border setting.
Definition: Helpers.cpp:28
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...
Definition: Helpers.inl:201
std::string get_cl_type_from_data_type(const DataType &dt)
Translates a tensor data type to the appropriate OpenCL type.
Definition: CLHelpers.cpp:35
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 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

References CLBuildOptions::add_option(), ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, arm_compute::auto_init_if_empty(), arm_compute::BATCHES, arm_compute::calculate_max_window(), arm_compute::misc::shape_calculator::compute_space_to_batch_shape(), arm_compute::create_kernel(), arm_compute::test::validation::data_layout, ITensorInfo::data_layout(), ITensorInfo::data_type(), ITensorInfo::dimension(), CLKernelLibrary::get(), arm_compute::get_cl_type_from_data_type(), arm_compute::get_data_layout_dimension_index(), arm_compute::HEIGHT, ITensor::info(), arm_compute::lower_string(), CLBuildOptions::options(), arm_compute::test::validation::output_shape, ITensorInfo::quantization_info(), arm_compute::string_from_data_layout(), arm_compute::support::cpp11::to_string(), and arm_compute::WIDTH.

◆ operator=() [1/2]

CLSpaceToBatchLayerKernel& operator= ( const CLSpaceToBatchLayerKernel )
delete

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 173 of file CLSpaceToBatchLayerKernel.cpp.

174 {
177 
178  Window slice_out = window.first_slice_window_3D();
179 
180  Window slice_in = window.first_slice_window_4D();
181  slice_in.set(Window::DimX, Window::Dimension(0, 0, 0));
182  slice_in.set(Window::DimY, Window::Dimension(0, 0, 0));
183  slice_in.set(Window::DimZ, Window::Dimension(0, 0, 0));
184  slice_in.set(3, Window::Dimension(0, 0, 0));
185 
186  Window vector_slice = window.first_slice_window_1D();
187  vector_slice.set(Window::DimX, Window::Dimension(0, 0, 0));
188 
189  Window padding_slice = window.first_slice_window_2D();
190  padding_slice.set(Window::DimX, Window::Dimension(0, 0, 0));
191  padding_slice.set(Window::DimY, Window::Dimension(0, 0, 0));
192 
193  int batch_id = 0;
194  do
195  {
196  unsigned int idx = 0;
197  const bool cond = (_paddings != nullptr && _block_shape != nullptr);
198  add_4D_tensor_argument(idx, _input, slice_in);
199  add_2D_tensor_argument_if(cond, idx, _paddings, padding_slice);
200  add_1D_tensor_argument_if(cond, idx, _block_shape, vector_slice);
201 
202  add_argument(idx, batch_id);
203  add_3D_tensor_argument(idx, _output, slice_out);
204  enqueue(queue, *this, slice_out);
205  ++batch_id;
206  }
207  while(window.slide_window_slice_3D(slice_out));
208 }
Window first_slice_window_2D() const
First 2D slice of the window.
Definition: Window.h:267
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 ...
Definition: ICLKernel.h:121
const Window & window() const
The maximum window the kernel can be executed on.
Definition: IKernel.cpp:28
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 ...
Definition: ICLKernel.h:145
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
void add_argument(unsigned int &idx, T value)
Add the passed parameters to the object's kernel's arguments starting from the index idx.
Definition: ICLKernel.h:226
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
static constexpr size_t DimX
Alias for dimension 0 also known as X dimension.
Definition: Window.h:43
void set(size_t dimension, const Dimension &dim)
Set the values of a given dimension.
Definition: Window.inl:48
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
static constexpr size_t DimZ
Alias for dimension 2 also known as Z dimension.
Definition: Window.h:47
Window first_slice_window_4D() const
First 4D slice of the window.
Definition: Window.h:283
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
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.
Definition: ICLKernel.h:168
#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)
Definition: Validate.h:940
Window first_slice_window_1D() const
First 1D slice of the window.
Definition: Window.h:259

References ICLKernel::add_1D_tensor_argument_if(), ICLKernel::add_2D_tensor_argument_if(), ICLKernel::add_3D_tensor_argument(), ICLKernel::add_4D_tensor_argument(), ICLKernel::add_argument(), ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, Window::DimX, Window::DimY, Window::DimZ, arm_compute::enqueue(), Window::first_slice_window_1D(), Window::first_slice_window_2D(), Window::first_slice_window_3D(), Window::first_slice_window_4D(), Window::set(), Window::slide_window_slice_3D(), and IKernel::window().

◆ validate() [1/2]

Status validate ( const ITensorInfo input,
const ITensorInfo block_shape,
const ITensorInfo paddings,
const ITensorInfo output 
)
static

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

Parameters
[in]inputTensor input. Supported tensor rank: 4. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
[in]block_shape1-D tensor with shape [M]. Data types supported: S32
[in]paddings2-D tensor with shape [2, M]. Data types supported: S32
[in]outputTensor output. Data types supported: same as input
Returns
a status

Definition at line 161 of file CLSpaceToBatchLayerKernel.cpp.

162 {
163  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, block_shape, paddings, output));
164  return Status{};
165 }
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:193

References ARM_COMPUTE_RETURN_ON_ERROR.

Referenced by CLSpaceToBatchLayer::validate().

◆ validate() [2/2]

Status validate ( const ITensorInfo input,
const int  block_shape_x,
const int  block_shape_y,
const Size2D padding_left,
const Size2D padding_right,
const ITensorInfo output 
)
static

Static function to check if given info will lead to a valid configuration of CLSpaceToBatchLayerKernel (Static block shape and paddings)

Parameters
[in]inputTensor input. Supported tensor rank: 4. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
[in]block_shape_xBlock shape x value.
[in]block_shape_yBlock shape y value.
[in]padding_leftThe left padding of the output tensor.
[in]padding_rightThe right padding of the output tensor.
[in]outputTensor output. Data types supported: same as input
Returns
a status

Definition at line 166 of file CLSpaceToBatchLayerKernel.cpp.

168 {
169  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_static(input, block_shape_x, block_shape_y, padding_left, padding_right, output));
170  return Status{};
171 }
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:193

References ARM_COMPUTE_RETURN_ON_ERROR.


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