24.02.1
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Interface for the normalization layer kernel. More...
#include <NENormalizationLayerKernel.h>
Public Member Functions | |
const char * | name () const override |
Name of the kernel. More... | |
NENormalizationLayerKernel () | |
Default constructor. More... | |
NENormalizationLayerKernel (const NENormalizationLayerKernel &)=delete | |
Prevent instances of this class from being copied (As this class contains pointers) More... | |
NENormalizationLayerKernel & | operator= (const NENormalizationLayerKernel &)=delete |
Prevent instances of this class from being copied (As this class contains pointers) More... | |
NENormalizationLayerKernel (NENormalizationLayerKernel &&)=default | |
Default Move Constructor. More... | |
NENormalizationLayerKernel & | operator= (NENormalizationLayerKernel &&)=default |
Default move assignment operator. More... | |
~NENormalizationLayerKernel ()=default | |
Default destructor. More... | |
void | configure (const ITensor *input, const ITensor *input_squared, ITensor *output, NormalizationLayerInfo norm_info) |
Set the input and output tensors. More... | |
void | run (const Window &window, const ThreadInfo &info) override |
Execute the kernel on the passed window. More... | |
Public Member Functions inherited from ICPPKernel | |
virtual | ~ICPPKernel ()=default |
Default destructor. 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 void | run_op (ITensorPack &tensors, const Window &window, const ThreadInfo &info) |
Execute the kernel on the passed window. 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 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 *input, const ITensorInfo *input_squared, const ITensorInfo *output, NormalizationLayerInfo norm_info) |
Static function to check if given info will lead to a valid configuration of NENormalizationLayerKernel. More... | |
Additional Inherited Members | |
Static Public Attributes inherited from ICPPKernel | |
static constexpr size_t | default_mws = 1 |
Interface for the normalization layer kernel.
Definition at line 35 of file NENormalizationLayerKernel.h.
Default constructor.
Definition at line 74 of file NENormalizationLayerKernel.cpp.
References arm_compute::IN_MAP_1D.
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delete |
Prevent instances of this class from being copied (As this class contains pointers)
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default |
Default Move Constructor.
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default |
Default destructor.
void configure | ( | const ITensor * | input, |
const ITensor * | input_squared, | ||
ITensor * | output, | ||
NormalizationLayerInfo | norm_info | ||
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Set the input and output tensors.
[in] | input | Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], and an optional 4th dimension for batch of inputs. Data types supported: FP16/F32. Data layouts supported: NCHW/NHWC. |
[in] | input_squared | Source with each element has been squared. 3 lower dims represent a single input with dimensions [width, height, IFM], Data type and layout supported: same as input . |
[out] | output | Destination tensor. Output will have the same number of dimensions as input. Data type and layout supported: same as input . |
[in] | norm_info | Normalization layer information like the normalization type, normalization size and other parameters. |
Definition at line 79 of file NENormalizationLayerKernel.cpp.
References ARM_COMPUTE_ERROR, ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, arm_compute::auto_init_if_empty(), arm_compute::calculate_max_window(), ITensorInfo::data_type(), arm_compute::F16, arm_compute::F32, arm_compute::get_normalization_dimension_index(), arm_compute::IN_MAP_2D, ITensor::info(), arm_compute::test::validation::input, arm_compute::cpu::neon_normalize_float16_8_0(), arm_compute::cpu::neon_normalize_float16_8_0_2D(), arm_compute::cpu::neon_normalize_float16_8_1(), arm_compute::cpu::neon_normalize_float16_8_1_2D(), arm_compute::cpu::neon_normalize_float16_8_2(), arm_compute::cpu::neon_normalize_float32_4_0(), arm_compute::cpu::neon_normalize_float32_4_0_2D(), arm_compute::cpu::neon_normalize_float32_4_1(), arm_compute::cpu::neon_normalize_float32_4_1_2D(), arm_compute::cpu::neon_normalize_float32_4_2(), REGISTER_FP16_NEON, REGISTER_FP32_NEON, NormalizationLayerInfo::type(), and arm_compute::cpu::kernels::validate_arguments().
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inlineoverridevirtual |
Name of the kernel.
Implements ICPPKernel.
Definition at line 38 of file NENormalizationLayerKernel.h.
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delete |
Prevent instances of this class from being copied (As this class contains pointers)
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default |
Default move assignment operator.
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overridevirtual |
Execute the kernel on the passed window.
[in] | window | Region on which to execute the kernel. (Must be a region of the window returned by window()) |
[in] | info | Info about executing thread and CPU. |
Reimplemented from ICPPKernel.
Definition at line 188 of file NENormalizationLayerKernel.cpp.
References ARM_COMPUTE_ERROR_ON, ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, ARM_COMPUTE_UNUSED, arm_compute::test::validation::info, and IKernel::window().
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static |
Static function to check if given info will lead to a valid configuration of NENormalizationLayerKernel.
[in] | input | Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], and an optional 4th dimension for batch of inputs. Data types supported: FP16/F32. Data layouts supported: NCHW/NHWC. |
[in] | input_squared | Source with each element has been squared. 3 lower dims represent a single input with dimensions [width, height, IFM], Data type and layout supported: same as input . |
[in] | output | Destination tensor. Output will have the same number of dimensions as input. Data type and layout supported: same as input . |
[in] | norm_info | Normalization layer information like the normalization type, normalization size and other parameters. |
Definition at line 178 of file NENormalizationLayerKernel.cpp.
References ARM_COMPUTE_RETURN_ON_ERROR, arm_compute::test::validation::input, and arm_compute::cpu::kernels::validate_arguments().
Referenced by NENormalizationLayer::validate().