Compute Library
18.05
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Interface for the depthwise im2col reshape kernel. More...
#include <CLDepthwiseIm2ColKernel.h>
Public Member Functions | |
CLDepthwiseIm2ColKernel () | |
Default constructor. More... | |
CLDepthwiseIm2ColKernel (const CLDepthwiseIm2ColKernel &)=delete | |
Prevent instances of this class from being copied (As this class contains pointers) More... | |
CLDepthwiseIm2ColKernel & | operator= (const CLDepthwiseIm2ColKernel &)=delete |
Prevent instances of this class from being copied (As this class contains pointers) More... | |
CLDepthwiseIm2ColKernel (CLDepthwiseIm2ColKernel &&)=default | |
Allow instances of this class to be moved. More... | |
CLDepthwiseIm2ColKernel & | operator= (CLDepthwiseIm2ColKernel &&)=default |
Allow instances of this class to be moved. More... | |
void | configure (const ICLTensor *input, ICLTensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias=false, unsigned int depth_multiplier=1) |
Set the input and output of the kernel. More... | |
void | run (const Window &window, cl::CommandQueue &queue) override |
Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue. More... | |
Public Member Functions inherited from ICLKernel | |
ICLKernel () | |
Constructor. More... | |
cl::Kernel & | kernel () |
Returns a reference to the OpenCL kernel of this object. 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_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_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... | |
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... | |
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... | |
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... | |
Static Public Member Functions | |
static Status | validate (const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, unsigned int depth_multiplier) |
Static function to check if given info will lead to a valid configuration of CLDepthwiseIm2ColKernel. More... | |
Static Public Member Functions inherited from ICLKernel | |
static constexpr unsigned int | num_arguments_per_1D_array () |
Returns the number of arguments enqueued per 1D array object. More... | |
static constexpr unsigned int | num_arguments_per_1D_tensor () |
Returns the number of arguments enqueued per 1D tensor object. More... | |
static constexpr unsigned int | num_arguments_per_2D_tensor () |
Returns the number of arguments enqueued per 2D tensor object. More... | |
static constexpr unsigned int | num_arguments_per_3D_tensor () |
Returns the number of arguments enqueued per 3D tensor object. More... | |
static constexpr 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) |
Get the global work size given an execution window. More... | |
Interface for the depthwise im2col reshape kernel.
This kernel reshape the input low 3 dimensions to a new 3D shape where the output's first dimension is the linear patch size (FILTER_WIDTH * FILTER_HEIGHT) and second dimension is number of patches per image and third dimension unchanged .
Definition at line 38 of file CLDepthwiseIm2ColKernel.h.
Default constructor.
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delete |
Prevent instances of this class from being copied (As this class contains pointers)
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default |
Allow instances of this class to be moved.
void configure | ( | const ICLTensor * | input, |
ICLTensor * | output, | ||
const Size2D & | kernel_dims, | ||
const PadStrideInfo & | conv_info, | ||
bool | has_bias = false , |
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unsigned int | depth_multiplier = 1 |
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Set the input and output of the kernel.
[in] | input | The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F16/F32 |
[out] | output | The output tensor. First 3 lower dimensions represent a transform of each 3D input, while every dimension above 3 represents a batch. Data types supported: Same as input |
[in] | kernel_dims | The kernel dimensions (width and height). |
[in] | conv_info | Contains padding and stride information described in PadStrideInfo. |
[in] | has_bias | Boolean that specifies if the depthwise convolution has bias. |
[in] | depth_multiplier | (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. |
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delete |
Prevent instances of this class from being copied (As this class contains pointers)
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default |
Allow instances of this class to be moved.
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overridevirtual |
Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue.
[in] | window | Region on which to execute the kernel. (Must be a valid region of the window returned by window()). |
[in,out] | queue | Command queue on which to enqueue the kernel. |
Implements ICLKernel.
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static |
Static function to check if given info will lead to a valid configuration of CLDepthwiseIm2ColKernel.
[in] | input | The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F32 |
[in] | output | The output tensor. First 3 lower dimensions represent a transform of each 3D input, while every dimension above 3 represents a batch. Data types supported: Same as input |
[in] | kernel_dims | The kernel dimensions (width and height). |
[in] | conv_info | Contains padding and stride information described in PadStrideInfo. |
[in] | has_bias | Boolean that specifies if the depthwise convolution has bias. |
[in] | depth_multiplier | (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. |