Compute Library
 21.02
CLExpLayer Class Reference

Basic function to perform exponential on an input tensor. More...

#include <CLElementWiseUnaryLayer.h>

Collaboration diagram for CLExpLayer:
[legend]

Public Member Functions

 CLExpLayer ()
 Default Constructor. More...
 
 ~CLExpLayer ()
 Default Destructor. More...
 
 CLExpLayer (const CLExpLayer &)=delete
 Prevent instances of this class from being copied (As this class contains pointers) More...
 
 CLExpLayer (CLExpLayer &&)
 Default move constructor. More...
 
CLExpLayeroperator= (const CLExpLayer &)=delete
 Prevent instances of this class from being copied (As this class contains pointers) More...
 
CLExpLayeroperator= (CLExpLayer &&)
 Default move assignment operator. More...
 
void configure (const ICLTensor *input, ICLTensor *output)
 Initialize the function. More...
 
void configure (const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
 Initialize the function. More...
 
void run () override
 Run the kernels contained in the function. More...
 
- Public Member Functions inherited from IFunction
virtual ~IFunction ()=default
 Destructor. More...
 
virtual void prepare ()
 Prepare the function for executing. More...
 

Static Public Member Functions

static Status validate (const ITensorInfo *input, const ITensorInfo *output)
 Static function to check if given info will lead to a valid configuration of CLExpLayer. More...
 

Detailed Description

Basic function to perform exponential on an input tensor.

Definition at line 86 of file CLElementWiseUnaryLayer.h.

Constructor & Destructor Documentation

◆ CLExpLayer() [1/3]

Default Constructor.

Definition at line 82 of file CLElementWiseUnaryLayer.cpp.

References CLExpLayer::operator=(), and CLExpLayer::~CLExpLayer().

83  : _impl(std::make_unique<Impl>())
84 {
85 }

◆ ~CLExpLayer()

~CLExpLayer ( )
default

Default Destructor.

Referenced by CLExpLayer::CLExpLayer().

◆ CLExpLayer() [2/3]

CLExpLayer ( const CLExpLayer )
delete

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

◆ CLExpLayer() [3/3]

CLExpLayer ( CLExpLayer &&  )
default

Default move constructor.

Member Function Documentation

◆ configure() [1/2]

void configure ( const ICLTensor input,
ICLTensor output 
)

Initialize the function.

Parameters
[in]inputInput tensor. Data types supported: F16/F32.
[out]outputOutput tensor. Data types supported: same as input.

Definition at line 91 of file CLElementWiseUnaryLayer.cpp.

References CLKernelLibrary::get().

92 {
93  configure(CLKernelLibrary::get().get_compile_context(), input, output);
94 }
static CLKernelLibrary & get()
Access the KernelLibrary singleton.
void configure(const ICLTensor *input, ICLTensor *output)
Initialize the function.

◆ configure() [2/2]

void configure ( const CLCompileContext compile_context,
const ICLTensor input,
ICLTensor output 
)

Initialize the function.

Parameters
[in]compile_contextThe compile context to be used.
[in]inputInput tensor. Data types supported: F16/F32.
[out]outputOutput tensor. Data types supported: same as input.

Definition at line 96 of file CLElementWiseUnaryLayer.cpp.

References ITensor::info(), and arm_compute::test::validation::input.

97 {
98  _impl->src = input;
99  _impl->dst = output;
100  _impl->op = std::make_unique<opencl::ClExp>();
101  _impl->op->configure(compile_context, input->info(), output->info());
102 }

◆ operator=() [1/2]

CLExpLayer& operator= ( const CLExpLayer )
delete

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

Referenced by CLExpLayer::CLExpLayer().

◆ operator=() [2/2]

CLExpLayer & operator= ( CLExpLayer &&  )
default

Default move assignment operator.

◆ run()

void run ( )
overridevirtual

Run the kernels contained in the function.

For Neon kernels:

  • Multi-threading is used for the kernels which are parallelisable.
  • By default std::thread::hardware_concurrency() threads are used.
Note
CPPScheduler::set_num_threads() can be used to manually set the number of threads

For OpenCL kernels:

  • All the kernels are enqueued on the queue associated with CLScheduler.
  • The queue is then flushed.
Note
The function will not block until the kernels are executed. It is the user's responsibility to wait.
Will call prepare() on first run if hasn't been done

Implements IFunction.

Definition at line 109 of file CLElementWiseUnaryLayer.cpp.

References arm_compute::ACL_DST, arm_compute::ACL_SRC, ITensorPack::add_tensor(), arm_compute::test::validation::dst, and arm_compute::test::validation::src.

110 {
111  ITensorPack pack;
112  pack.add_tensor(TensorType::ACL_SRC, _impl->src);
113  pack.add_tensor(TensorType::ACL_DST, _impl->dst);
114  _impl->op->run(pack);
115 }

◆ validate()

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

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

Parameters
[in]inputFirst tensor input info. Data types supported: F16/F32.
[in]outputOutput tensor info. Data types supported: Same as input.
Returns
a status

Definition at line 104 of file CLElementWiseUnaryLayer.cpp.

References ClExp::validate().

105 {
106  return opencl::ClExp::validate(input, output);
107 }
static Status validate(const ITensorInfo *src, const ITensorInfo *dst)
Static function to check if given info will lead to a valid configuration of ClExp.

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