Compute Library
 23.08
Public Member Functions | Static Public Member Functions
ClActivationKernel Class Reference

Interface for the activation kernel. More...

#include <ClActivationKernel.h>

Collaboration diagram for ClActivationKernel:
[legend]

Public Member Functions

 ClActivationKernel ()
 
 ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE (ClActivationKernel)
 
void configure (const ClCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst, ActivationLayerInfo act_info)
 Configure kernel for a given list of arguments. More...
 
void run_op (ITensorPack &tensors, const Window &window, ::cl::CommandQueue &queue) override
 
- 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_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...
 
cl::NDRange get_cached_gws () const
 Get the cached gws used to enqueue this kernel. More...
 
void cache_gws (const cl::NDRange &gws)
 Cache the latest gws used to enqueue this kernel. 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 Window & window () 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 *src, const ITensorInfo *dst, const ActivationLayerInfo &act_info)
 Static function to check if given info will lead to a valid configuration. More...
 
- Static Public Member Functions inherited from ICLKernel
constexpr static unsigned int num_arguments_per_3d_tensor_nhw ()
 Returns the number of arguments enqueued per NHW 3D Tensor object. More...
 
constexpr static unsigned int num_arguments_per_4d_tensor_nhwc ()
 Returns the number of arguments enqueued per NHWC 4D Tensor object. More...
 
constexpr static unsigned int num_arguments_per_1D_array ()
 Returns the number of arguments enqueued per 1D array object. More...
 
constexpr static unsigned int num_arguments_per_1D_tensor ()
 Returns the number of arguments enqueued per 1D tensor object. More...
 
constexpr static unsigned int num_arguments_per_2D_tensor ()
 Returns the number of arguments enqueued per 2D tensor object. More...
 
constexpr static unsigned int num_arguments_per_3D_tensor ()
 Returns the number of arguments enqueued per 3D tensor object. More...
 
constexpr static 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, bool use_dummy_work_items)
 Get the global work size given an execution window. More...
 

Detailed Description

Interface for the activation kernel.

Definition at line 39 of file ClActivationKernel.h.

Constructor & Destructor Documentation

◆ ClActivationKernel()

ClActivationKernel ( )

Definition at line 93 of file ClActivationKernel.cpp.

94 {
95  _type = CLKernelType::ELEMENTWISE;
96 }

References arm_compute::ELEMENTWISE.

Member Function Documentation

◆ ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE()

ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE ( ClActivationKernel  )

◆ configure()

void configure ( const ClCompileContext &  compile_context,
ITensorInfo *  src,
ITensorInfo *  dst,
ActivationLayerInfo  act_info 
)

Configure kernel for a given list of arguments.

Note
If the output tensor is a nullptr, the activation function will be performed in-place
Parameters
[in]compile_contextThe compile context to be used.
[in,out]srcSource tensor info. In case of dst tensor = nullptr, this tensor will store the result of the activation function. Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM16/F16/F32.
[out]dstDestination tensor info. Data type supported: same as src
[in]act_infoActivation layer information.

Definition at line 98 of file ClActivationKernel.cpp.

99 {
100  ARM_COMPUTE_ERROR_ON_NULLPTR(src);
101 
102  auto padding_info = get_padding_info({ src, dst });
103 
104  _run_in_place = (dst == nullptr) || (dst == src);
105 
106  if(dst != nullptr)
107  {
108  // Destination auto inizialitation if not yet initialized
109  auto_init_if_empty(*dst, *src->clone());
110  }
111 
112  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, (dst != nullptr) ? dst : nullptr, act_info));
113 
114  const unsigned int num_elems_processed_per_iteration = adjust_vec_size(16 / src->element_size(), src->dimension(0));
115 
116  const DataType dt = src->data_type();
117  float a_const = act_info.a();
118  float b_const = act_info.b();
119 
120  const ActivationLayerInfo::ActivationFunction f_act = act_info.activation();
121  const bool is_quantized = is_data_type_quantized(dt);
122  const bool perform_activation_in_float =
123  (f_act == ActivationLayerInfo::ActivationFunction::LOGISTIC)
124  || (f_act == ActivationLayerInfo::ActivationFunction::TANH)
125  || (f_act == ActivationLayerInfo::ActivationFunction::HARD_SWISH)
126  || (f_act == ActivationLayerInfo::ActivationFunction::LEAKY_RELU);
127 
128  // Set build options
129  CLBuildOptions build_opts;
130  build_opts.add_option_if(perform_activation_in_float, "-DFLOAT_DOMAIN");
131  build_opts.add_option_if(_run_in_place, "-DIN_PLACE");
132  build_opts.add_option("-DACT=" + lower_string(string_from_activation_func(f_act)));
133  build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(dt));
134  build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration));
135  build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(src->dimension(0) % num_elems_processed_per_iteration));
136 
137  std::string kernel_name = std::string("activation_layer");
138 
139  // Set quantization info build options
140  if(is_quantized)
141  {
142  const UniformQuantizationInfo iq_info = src->quantization_info().uniform();
143 
144  if(!perform_activation_in_float)
145  {
146  int a_const_int = 0;
147  int b_const_int = 0;
148 
149  // Create quantized version of constants a, b if needed
150  switch(dt)
151  {
152  case DataType::QASYMM8:
153  {
154  a_const_int = quantize_qasymm8(a_const, iq_info);
155  b_const_int = quantize_qasymm8(b_const, iq_info);
156  }
157  break;
158  case DataType::QASYMM8_SIGNED:
159  {
160  a_const_int = quantize_qasymm8_signed(a_const, iq_info);
161  b_const_int = quantize_qasymm8_signed(b_const, iq_info);
162  }
163  break;
164  case DataType::QSYMM16:
165  {
166  a_const_int = quantize_qsymm16(a_const, iq_info);
167  b_const_int = quantize_qsymm16(b_const, iq_info);
168  }
169  break;
170  default:
171  break;
172  }
173  build_opts.add_option(("-DA_VAL=" + support::cpp11::to_string(a_const_int)));
174  build_opts.add_option(("-DB_VAL=" + support::cpp11::to_string(b_const_int)));
175  }
176  else
177  {
178  build_opts.add_option(("-DA_VAL=" + float_to_string_with_full_precision(a_const)));
179  build_opts.add_option(("-DB_VAL=" + float_to_string_with_full_precision(b_const)));
180  }
181 
182  // Quantized value of 0 corresponds to the offset o1
183  build_opts.add_option(("-DCONST_0=" + (is_data_type_quantized_asymmetric(dt) ? support::cpp11::to_string(iq_info.offset) : "0")));
184  build_opts.add_option(("-DS1_VAL=" + float_to_string_with_full_precision(iq_info.scale)));
185  build_opts.add_option_if(is_data_type_quantized_asymmetric(dt), "-DO1_VAL=" + support::cpp11::to_string(iq_info.offset));
186 
187  // Set correct kernel name
188  kernel_name += perform_activation_in_float ? std::string("_quant_f32") : std::string("_quant");
189 
190  // Set scale and offset of the source and destination if they have different quantization info
191  if(dst != nullptr)
192  {
193  const UniformQuantizationInfo oq_info = dst->quantization_info().uniform();
194 
195  if(iq_info != oq_info)
196  {
197  build_opts.add_option(("-DS2_VAL=" + float_to_string_with_full_precision(oq_info.scale)));
198  build_opts.add_option_if(is_data_type_quantized_asymmetric(dt), "-DO2_VAL=" + support::cpp11::to_string(oq_info.offset));
199  }
200  }
201  }
202  else
203  {
204  // Set A, B constants in build options for float types
205  build_opts.add_option(("-DA_VAL=" + float_to_string_with_full_precision(a_const)));
206  build_opts.add_option(("-DB_VAL=" + float_to_string_with_full_precision(b_const)));
207  }
208 
209  // Create kernel
210  _kernel = create_kernel(compile_context, kernel_name, build_opts.options());
211 
212  // Configure kernel window
213  Window win = calculate_max_window(*src, Steps(num_elems_processed_per_iteration));
214  ICLKernel::configure_internal(win);
215 
216  // Set config_id for enabling LWS tuning
217  _config_id = "activation_layer_";
218  _config_id += lower_string(string_from_data_type(dt));
219  _config_id += "_";
220  _config_id += support::cpp11::to_string(src->dimension(0));
221  _config_id += "_";
222  _config_id += support::cpp11::to_string(src->dimension(1));
223 
224  ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
225 }

References arm_compute::test::validation::act_info, CLBuildOptions::add_option(), CLBuildOptions::add_option_if(), arm_compute::adjust_vec_size(), ARM_COMPUTE_ERROR_ON, ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, arm_compute::auto_init_if_empty(), arm_compute::calculate_max_window(), arm_compute::create_kernel(), arm_compute::test::validation::dst, dt, 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::is_data_type_quantized(), arm_compute::is_data_type_quantized_asymmetric(), kernel_name, arm_compute::lower_string(), num_elems_processed_per_iteration, UniformQuantizationInfo::offset, CLBuildOptions::options(), arm_compute::QASYMM8, arm_compute::QASYMM8_SIGNED, arm_compute::QSYMM16, arm_compute::quantize_qasymm8(), arm_compute::quantize_qasymm8_signed(), arm_compute::quantize_qsymm16(), UniformQuantizationInfo::scale, arm_compute::test::validation::src, arm_compute::string_from_activation_func(), arm_compute::string_from_data_type(), arm_compute::support::cpp11::to_string(), and arm_compute::cpu::kernels::validate_arguments().

◆ run_op()

void run_op ( ITensorPack &  tensors,
const Window &  window,
::cl::CommandQueue &  queue 
)
override

Definition at line 233 of file ClActivationKernel.cpp.

234 {
235  ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
236  ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
237 
238  const auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
239  auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
240  ARM_COMPUTE_ERROR_ON(_run_in_place && src != dst);
241 
242  Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
243  Window slice = collapsed.first_slice_window_3D();
244 
245  do
246  {
247  unsigned int idx = 0;
248  add_3D_tensor_argument(idx, src, slice);
249  if(!_run_in_place)
250  {
251  add_3D_tensor_argument(idx, dst, slice);
252  }
253  enqueue(queue, *this, slice, lws_hint());
254  }
255  while(collapsed.slide_window_slice_3D(slice));
256 }

References arm_compute::ACL_DST, arm_compute::ACL_SRC, ICLKernel::add_3D_tensor_argument(), ARM_COMPUTE_ERROR_ON, ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, Window::collapse_if_possible(), Window::DimZ, arm_compute::test::validation::dst, arm_compute::enqueue(), Window::first_slice_window_3D(), ITensorPack::get_const_tensor(), ITensorPack::get_tensor(), ICLKernel::lws_hint(), arm_compute::test::validation::reference::slice(), Window::slide_window_slice_3D(), arm_compute::test::validation::src, and IKernel::window().

◆ validate()

Status validate ( const ITensorInfo *  src,
const ITensorInfo *  dst,
const ActivationLayerInfo &  act_info 
)
static

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

Similar to ClActivationKernel::configure()

Returns
a status

Definition at line 227 of file ClActivationKernel.cpp.

228 {
229  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, act_info));
230  return Status{};
231 }

References arm_compute::test::validation::act_info, ARM_COMPUTE_RETURN_ON_ERROR, arm_compute::test::validation::dst, arm_compute::test::validation::src, and arm_compute::cpu::kernels::validate_arguments().

Referenced by ClActivation::validate(), and ClGemmConv2d::validate().

The documentation for this class was generated from the following files:
arm_compute::support::cpp11::to_string
std::string to_string(T &&value)
Convert integer and float values to string.
Definition: StringSupport.h:168
arm_compute::test::validation::src
SimpleTensor< float > src
Definition: DFT.cpp:155
arm_compute::calculate_max_window
Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps, bool skip_border, BorderSize border_size)
Definition: WindowHelpers.cpp:28
arm_compute::quantize_qsymm16
int16_t quantize_qsymm16(float value, const UniformQuantizationInfo &qinfo, RoundingPolicy rounding_policy=RoundingPolicy::TO_NEAREST_UP)
Quantize a value given a 16-bit symmetric quantization scheme.
Definition: QuantizationInfo.h:444
arm_compute::DataType::QASYMM8
@ QASYMM8
quantized, asymmetric fixed-point 8-bit number unsigned
arm_compute::ActivationLayerInfo::ActivationFunction
arm_compute::ActivationFunction ActivationFunction
Definition: ActivationLayerInfo.h:58
arm_compute::test::validation::dst
auto dst
Definition: DFT.cpp:170
arm_compute::lower_string
std::string lower_string(const std::string &val)
Lower a given string.
Definition: StringUtils.cpp:38
arm_compute::cpu::kernels::validate_arguments
Status validate_arguments(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *dst, const PadStrideInfo &conv_info)
Definition: CpuDirectConv2dKernel.cpp:60
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL
#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)
Definition: Validate.h:1004
arm_compute::quantize_qasymm8
uint8_t quantize_qasymm8(float value, const INFO_TYPE &qinfo, RoundingPolicy rounding_policy=RoundingPolicy::TO_NEAREST_UP)
Quantize a value given an unsigned 8-bit asymmetric quantization scheme.
Definition: QuantizationInfo.h:300
arm_compute::Window::collapse_if_possible
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
arm_compute::string_from_data_type
const std::string & string_from_data_type(DataType dt)
Convert a data type identity into a string.
Definition: DataTypeUtils.cpp:31
arm_compute::DataType::QSYMM16
@ QSYMM16
quantized, symmetric fixed-point 16-bit number
ARM_COMPUTE_RETURN_ON_ERROR
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:204
arm_compute::test::validation::act_info
act_info
Definition: DirectConvolutionLayer.cpp:547
ARM_COMPUTE_ERROR_ON_NULLPTR
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:161
ARM_COMPUTE_ERROR_ON
#define ARM_COMPUTE_ERROR_ON(cond)
If the condition is true then an error message is printed and an exception thrown.
Definition: Error.h:467
ARM_COMPUTE_ERROR_THROW_ON
#define ARM_COMPUTE_ERROR_THROW_ON(status)
Definition: Error.h:456
arm_compute::quantize_qasymm8_signed
int8_t quantize_qasymm8_signed(float value, const INFO_TYPE &qinfo, RoundingPolicy rounding_policy=RoundingPolicy::TO_NEAREST_UP)
Quantize a value given a signed 8-bit asymmetric quantization scheme.
Definition: QuantizationInfo.h:314
arm_compute::ACL_DST
@ ACL_DST
Definition: Types.h:55
arm_compute::auto_init_if_empty
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: AutoConfiguration.h:43
arm_compute::create_kernel
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
arm_compute::DataType::QASYMM8_SIGNED
@ QASYMM8_SIGNED
quantized, asymmetric fixed-point 8-bit number signed
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW
#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)
Definition: Validate.h:205
arm_compute::float_to_string_with_full_precision
std::string float_to_string_with_full_precision(float val)
Create a string with the float in full precision.
Definition: StringUtils.cpp:52
dt
DataType dt
Definition: NEBatchNormalizationLayerKernel.cpp:51
arm_compute::IKernel::window
const Window & window() const
The maximum window the kernel can be executed on.
Definition: IKernel.cpp:28
arm_compute::get_cl_type_from_data_type
std::string get_cl_type_from_data_type(const DataType &dt)
Translates a tensor data type to the appropriate OpenCL type.
Definition: CLHelpers.cpp:40
arm_compute::ICLKernel::add_3D_tensor_argument
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:222
arm_compute::ELEMENTWISE
@ ELEMENTWISE
Elementwise CL kernel type.
Definition: CLTypes.h:85
arm_compute::adjust_vec_size
unsigned int adjust_vec_size(unsigned int vec_size, size_t dim0)
Returns the adjusted vector size in case it is less than the input's first dimension,...
Definition: AdjustVecSize.h:38
arm_compute::has_padding_changed
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:462
arm_compute::Window::DimZ
static constexpr size_t DimZ
Alias for dimension 2 also known as Z dimension.
Definition: Window.h:47
arm_compute::ICLKernel::lws_hint
cl::NDRange lws_hint() const
Return the Local-Workgroup-Size hint.
Definition: ICLKernel.h:371
arm_compute::is_data_type_quantized_asymmetric
bool is_data_type_quantized_asymmetric(DataType dt)
Check if a given data type is of asymmetric quantized type.
Definition: DataTypeUtils.h:346
arm_compute::string_from_activation_func
const std::string & string_from_activation_func(const ActivationFunction &act)
Translates a given activation function to a string.
Definition: ActivationFunctionUtils.cpp:31
arm_compute::is_data_type_quantized
bool is_data_type_quantized(DataType dt)
Check if a given data type is of quantized type.
Definition: DataTypeUtils.h:324
arm_compute::ACL_SRC
@ ACL_SRC
Definition: Types.h:44
num_elems_processed_per_iteration
unsigned int num_elems_processed_per_iteration
Definition: ClIm2ColKernel.cpp:59
arm_compute::DataType
DataType
Available data types.
Definition: CoreTypes.h:82
arm_compute::get_padding_info
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:447
arm_compute::test::validation::reference::slice
SimpleTensor< T > slice(const SimpleTensor< T > &src, Coordinates starts, Coordinates ends)
Definition: SliceOperations.cpp:38
kernel_name
std::string kernel_name
Definition: ClIm2ColKernel.cpp:57
arm_compute::enqueue
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