Compute Library
CpuDequantizeKernel Class Reference

Interface for the dequantization layer kernel. More...

#include <CpuDequantizeKernel.h>

Collaboration diagram for CpuDequantizeKernel:

Public Member Functions

 CpuDequantizeKernel ()=default
void configure (const ITensorInfo *src, ITensorInfo *dst)
 Set input, output tensors. 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...
- 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)
 Static function to check if given info will lead to a valid configuration. More...

Detailed Description

Interface for the dequantization layer kernel.

Definition at line 37 of file CpuDequantizeKernel.h.

Constructor & Destructor Documentation

◆ CpuDequantizeKernel()

CpuDequantizeKernel ( )

Member Function Documentation



◆ configure()

void configure ( const ITensorInfo src,
ITensorInfo dst 

Set input, output tensors.

[in]srcSource tensor info. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/QSYMM8/QSYMM16.
[out]dstDestination tensor info with the same dimensions of input. Data type supported: F16/F32.

Definition at line 352 of file CpuDequantizeKernel.cpp.

References ARM_COMPUTE_ERROR_THROW_ON, arm_compute::auto_init_if_empty(), arm_compute::calculate_max_window(), arm_compute::F32, and ITensorInfo::tensor_shape().

353 {
354  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst));
356  // Configure kernel window
357  Window win = calculate_max_window(*src, Steps());
359  // Output tensor auto initialization if not yet initialized
360  auto_init_if_empty(*dst, src->tensor_shape(), 1, DataType::F32);
362  ICpuKernel::configure(win);
363 }
Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps, bool skip_border, BorderSize border_size)
1 channel, 1 F32 per channel
Definition: Error.h:455
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...

◆ name()

const char * name ( ) const

Name of the kernel.

Kernel name

Implements ICPPKernel.

Definition at line 394 of file CpuDequantizeKernel.cpp.

395 {
396  return "CpuDequantizeKernel";
397 }

◆ run_op()

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

Execute the kernel on the passed window.

If is_parallelisable() returns false then the passed window must be equal to window()
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().
[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 371 of file CpuDequantizeKernel.cpp.

References arm_compute::ACL_DST, arm_compute::ACL_SRC, ARM_COMPUTE_ERROR, ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, ARM_COMPUTE_UNUSED, arm_compute::test::validation::dst, arm_compute::F16, arm_compute::F32, ITensorPack::get_const_tensor(), ITensorPack::get_tensor(), arm_compute::test::validation::src, and IKernel::window().

372 {
377  const auto src = tensors.get_const_tensor(TensorType::ACL_SRC);
378  auto dst = tensors.get_tensor(TensorType::ACL_DST);
380  switch(dst->info()->data_type())
381  {
382  case DataType::F32:
383  run_dequantization_core<float>(src, dst, window);
384  break;
386  case DataType::F16:
387  run_dequantization_core<float16_t>(src, dst, window);
388  break;
390  default:
391  ARM_COMPUTE_ERROR("Unsupported data type.");
392  }
393 }
const Window & window() const
The maximum window the kernel can be executed on.
Definition: IKernel.cpp:28
#define ARM_COMPUTE_ERROR(msg)
Print the given message then throw an std::runtime_error.
Definition: Error.h:352
1 channel, 1 F32 per channel
SimpleTensor< float > src
Definition: DFT.cpp:155
1 channel, 1 F16 per channel
To avoid unused variables warnings.
Definition: Error.h:152
Definition: Validate.h:915
ScaleKernelInfo info(interpolation_policy, default_border_mode, PixelValue(), sampling_policy, false)
Definition: Validate.h:201

◆ validate()

Status validate ( const ITensorInfo src,
const ITensorInfo dst 

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

Similar to CpuDequantizeKernel::configure()

a status

Definition at line 365 of file CpuDequantizeKernel.cpp.


Referenced by CpuDequantize::validate().

366 {
367  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst));
368  return Status{};
369 }
Checks if a status contains an error and returns it.
Definition: Error.h:204
SimpleTensor< float > src
Definition: DFT.cpp:155

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