Compute Library
 22.11
CpuPool3dKernel Class Reference

Interface for the kernel to perform Pooling 3D. More...

#include <CpuPool3dKernel.h>

Collaboration diagram for CpuPool3dKernel:
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Data Structures

struct  Pooling3dKernel
 

Public Member Functions

 CpuPool3dKernel ()=default
 
 ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE (CpuPool3dKernel)
 
void configure (const ITensorInfo *src, ITensorInfo *dst, const Pooling3dLayerInfo &pool_info)
 Set the src, dst tensor and pooling info. More...
 
void run_op (ITensorPack &tensors, const Window &window, const ThreadInfo &info) override
 Execute the kernel on the passed window. More...
 
const char * name () const override
 Name of the kernel. More...
 
- Public Member Functions inherited from ICPPKernel
virtual ~ICPPKernel ()=default
 Default destructor. More...
 
virtual void run (const Window &window, const ThreadInfo &info)
 Execute the kernel on the passed window. More...
 
virtual void run_nd (const Window &window, const ThreadInfo &info, const Window &thread_locator)
 legacy compatibility layer for implemantions which do not support thread_locator In these cases we simply narrow the interface down the legacy version More...
 
virtual size_t get_mws (const CPUInfo &platform, size_t thread_count) const
 Return minimum workload size of the relevant kernel. 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 *src, const ITensorInfo *dst, const Pooling3dLayerInfo &pool_info)
 Static function to check if given info will lead to a valid configuration. More...
 
static const std::vector< Pooling3dKernel > & get_available_kernels ()
 
- Static Public Member Functions inherited from ICpuKernel< CpuPool3dKernel >
static const auto * get_implementation (const SelectorType &selector, KernelSelectionType selection_type=KernelSelectionType::Supported)
 Micro-kernel selector. More...
 

Additional Inherited Members

- Static Public Attributes inherited from ICPPKernel
static constexpr size_t default_mws = 1
 

Detailed Description

Interface for the kernel to perform Pooling 3D.

Definition at line 38 of file CpuPool3dKernel.h.

Constructor & Destructor Documentation

◆ CpuPool3dKernel()

CpuPool3dKernel ( )
default

Member Function Documentation

◆ ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE()

ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE ( CpuPool3dKernel  )

◆ configure()

void configure ( const ITensorInfo src,
ITensorInfo dst,
const Pooling3dLayerInfo pool_info 
)

Set the src, dst tensor and pooling info.

Valid data type configurations:

src dst
F16 F16
F32 F32
QASYMM8 QASYMM8
QASYMM8_SIGNED QASYMM8_SIGNED
Parameters
[in]srcSource tensor info. Data types supported: F16/F32/QASYMM8/QASYMM8_SIGNED.
[out]dstDestination tensor info. Data types supported: Same as src.
[in]pool_infoContains pooling operation information described in Pooling3dLayerInfo.

Definition at line 121 of file CpuPool3dKernel.cpp.

References 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(), ICloneable< T >::clone(), arm_compute::misc::shape_calculator::compute_pool3d_shape(), ITensorInfo::data_layout(), ITensorInfo::data_type(), Size3D::depth, arm_compute::DEPTH, ITensorInfo::dimension(), CPUInfo::get(), arm_compute::get_data_layout_dimension_index(), ICpuKernel< CpuPool3dKernel >::get_implementation(), CPUInfo::get_isa(), Size3D::height, arm_compute::HEIGHT, Pooling3dLayerInfo::is_global_pooling, Pooling3dLayerInfo::pool_size, ITensorInfo::tensor_shape(), arm_compute::cpu::kernels::validate_arguments(), Size3D::width, and arm_compute::WIDTH.

122 {
124 
125  // Perform validation step
127 
128  // dst auto inizialitation if not yet initialized
129  auto_init_if_empty(*dst, src->clone()->set_tensor_shape(compute_pool3d_shape(src->tensor_shape(), pool_info)));
130 
131  // Get data layout
132  const auto data_layout = src->data_layout();
135  const int idx_depth = get_data_layout_dimension_index(data_layout, DataLayoutDimension::DEPTH);
136 
137  // Update pool size in case of global pooling
138  const bool is_global_pooling = pool_info.is_global_pooling;
139  const Size3D pool_size(
140  is_global_pooling ? src->dimension(idx_width) : pool_info.pool_size.width,
141  is_global_pooling ? src->dimension(idx_height) : pool_info.pool_size.height,
142  is_global_pooling ? src->dimension(idx_depth) : pool_info.pool_size.depth);
143 
144  const auto *uk = CpuPool3dKernel::get_implementation(DataTypeISASelectorData{ src->data_type(), CPUInfo::get().get_isa() });
145  ARM_COMPUTE_ERROR_ON(uk == nullptr);
146 
147  // Set instance variables
148  _pool_info = pool_info;
149  _run_method = uk->ukernel;
150  _name = std::string("CpuPool3dKernel").append("/").append(uk->name);
151 
152  // Configure kernel window
153  Window win = calculate_max_window(*dst, Steps());
154  ICpuKernel::configure(win);
155 }
Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps, bool skip_border, BorderSize border_size)
static const auto * get_implementation(const SelectorType &selector, KernelSelectionType selection_type=KernelSelectionType::Supported)
Micro-kernel selector.
Definition: ICpuKernel.h:53
#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
TensorShape compute_pool3d_shape(const TensorShape &src, Pooling3dLayerInfo pool3d_info)
Calculate the output pool3d shape of a tensor.
Status validate_arguments(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *dst, const PadStrideInfo &conv_info)
SimpleTensor< float > src
Definition: DFT.cpp:155
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...
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:193
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:157
static CPUInfo & get()
Access the KernelLibrary singleton.
Definition: CPPTypes.cpp:40
cpuinfo::CpuIsaInfo get_isa() const
Gets the current cpu&#39;s ISA information.
Definition: CPPTypes.cpp:124

◆ get_available_kernels()

const std::vector< CpuPool3dKernel::Pooling3dKernel > & get_available_kernels ( )
static

Definition at line 184 of file CpuPool3dKernel.cpp.

185 {
186  return available_kernels;
187 }

◆ name()

const char * name ( ) const
overridevirtual

Name of the kernel.

Returns
Kernel name

Implements ICPPKernel.

Definition at line 179 of file CpuPool3dKernel.cpp.

180 {
181  return _name.c_str();
182 }

◆ run_op()

void run_op ( ITensorPack tensors,
const Window window,
const ThreadInfo info 
)
overridevirtual

Execute the kernel on the passed window.

Warning
If is_parallelisable() returns false then the passed window must be equal to window()
Note
The window has to be a region within the window returned by the window() method
The width of the window has to be a multiple of num_elems_processed_per_iteration().
Parameters
[in]tensorsA vector containing the tensors to operate on.
[in]windowRegion on which to execute the kernel. (Must be a region of the window returned by window())
[in]infoInfo about executing thread and CPU.

Reimplemented from ICPPKernel.

Definition at line 166 of file CpuPool3dKernel.cpp.

References arm_compute::ACL_DST_0, arm_compute::ACL_SRC_0, ARM_COMPUTE_ERROR_ON, ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, ARM_COMPUTE_UNUSED, ITensorPack::get_const_tensor(), ITensorPack::get_tensor(), and IKernel::window().

167 {
171  ARM_COMPUTE_ERROR_ON(_run_method == nullptr);
172 
173  const ITensor *src = tensors.get_const_tensor(TensorType::ACL_SRC_0);
174  ITensor *dst = tensors.get_tensor(TensorType::ACL_DST_0);
175 
176  _run_method(src, dst, _pool_info, window);
177 }
const Window & window() const
The maximum window the kernel can be executed on.
Definition: IKernel.cpp:28
#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
SimpleTensor< float > src
Definition: DFT.cpp:155
#define ARM_COMPUTE_UNUSED(...)
To avoid unused variables warnings.
Definition: Error.h:152
#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)
Definition: Validate.h:915
ScaleKernelInfo info(interpolation_policy, default_border_mode, PixelValue(), sampling_policy, false)
#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)
Definition: Validate.h:201

◆ validate()

Status validate ( const ITensorInfo src,
const ITensorInfo dst,
const Pooling3dLayerInfo pool_info 
)
static

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

Similar to CpuPool3dKernel::configure()

Returns
a status

Definition at line 157 of file CpuPool3dKernel.cpp.

References ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR, ARM_COMPUTE_RETURN_ON_ERROR, and arm_compute::cpu::kernels::validate_arguments().

Referenced by CpuPool3d::validate().

158 {
160 
162 
163  return Status{};
164 }
#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)
SimpleTensor< float > src
Definition: DFT.cpp:155
#define ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(...)
Definition: Validate.h:159

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