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OpenCL kernel used to compute the row-vectors of sums of all the entries in each column of Matrix B. More...
#include <CLGEMMLowpReductionKernel.h>
Public Member Functions | |
void | configure (const ICLTensor *mtx_b, ICLTensor *vector_sum_col, const GEMMLowpReductionKernelInfo &info) override |
Initialise the kernel's input and output. More... | |
void | configure (const CLCompileContext &compile_context, const ICLTensor *mtx_b, ICLTensor *vector_sum_col, const GEMMLowpReductionKernelInfo &info) override |
Initialise the kernel's input and output. 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 ICLGEMMLowpReductionKernel | |
ICLGEMMLowpReductionKernel () | |
Constructor. More... | |
ICLGEMMLowpReductionKernel (const ICLGEMMLowpReductionKernel &)=delete | |
Prevent instances of this class from being copied (As this class contains pointers) More... | |
ICLGEMMLowpReductionKernel & | operator= (const ICLGEMMLowpReductionKernel &)=delete |
Prevent instances of this class from being copied (As this class contains pointers) More... | |
ICLGEMMLowpReductionKernel (ICLGEMMLowpReductionKernel &&)=default | |
Allow instances of this class to be moved. More... | |
ICLGEMMLowpReductionKernel & | operator= (ICLGEMMLowpReductionKernel &&)=default |
Allow instances of this class to be moved. 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_1D_tensor_argument_if (bool cond, 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 if the condition is true. 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_2D_tensor_argument_if (bool cond, 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 if the condition is true. 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... | |
virtual void | run_op (ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) |
Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue. 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... | |
void | set_wbsm_hint (const cl_int &wbsm_hint) |
Set the workgroup batch size modifier hint. More... | |
cl_int | wbsm_hint () const |
Return the workgroup batch size modifier 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<unsigned int dimension_size> | |
void | add_tensor_argument (unsigned &idx, const ICLTensor *tensor, const Window &window) |
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 *mtx_b, const ITensorInfo *vector_sum_col, const GEMMLowpReductionKernelInfo &info) |
Static function to check if given info will lead to a valid configuration of CLGEMMLowpMatrixBReductionKernel. 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... | |
OpenCL kernel used to compute the row-vectors of sums of all the entries in each column of Matrix B.
Definition at line 132 of file CLGEMMLowpReductionKernel.h.
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overridevirtual |
Initialise the kernel's input and output.
[in] | mtx_b | Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL. |
[out] | vector_sum_col | Output row-vector of sums of all the entries in each column of mtx_b. Data type supported: S32 |
[in] | info | Kernel metadata:
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Implements ICLGEMMLowpReductionKernel.
Definition at line 151 of file CLGEMMLowpReductionKernel.cpp.
References ICLGEMMLowpReductionKernel::configure(), and CLKernelLibrary::get().
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overridevirtual |
Initialise the kernel's input and output.
[in] | compile_context | The compile context to be used. |
[in] | mtx_b | Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL. |
[out] | vector_sum_col | Output row-vector of sums of all the entries in each column of mtx_b. Data type supported: S32 |
[in] | info | Kernel metadata:
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Implements ICLGEMMLowpReductionKernel.
Definition at line 156 of file CLGEMMLowpReductionKernel.cpp.
References CLBuildOptions::add_option(), arm_compute::adjust_vec_size(), 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(), arm_compute::create_kernel(), ITensorInfo::data_type(), ITensorInfo::dimension(), arm_compute::get_cl_dot8_acc_type_from_data_type(), arm_compute::get_cl_type_from_data_type(), arm_compute::get_padding_info(), arm_compute::has_padding_changed(), ITensor::info(), GEMMLowpReductionKernelInfo::mul_by_scalar, num_elems_processed_per_iteration, arm_compute::S32, GEMMLowpReductionKernelInfo::scalar, and arm_compute::support::cpp11::to_string().
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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. |
Reimplemented from ICLKernel.
Definition at line 199 of file CLGEMMLowpReductionKernel.cpp.
References ICLKernel::add_2D_tensor_argument(), ICLKernel::add_3D_tensor_argument(), ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, Window::collapse_if_possible(), Window::DimY, Window::DimZ, arm_compute::enqueue(), Window::first_slice_window_2D(), ICLKernel::lws_hint(), Window::set(), Window::slide_window_slice_2D(), and IKernel::window().
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static |
Static function to check if given info will lead to a valid configuration of CLGEMMLowpMatrixBReductionKernel.
[in] | mtx_b | Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL. |
[in] | vector_sum_col | Output row-vector of sums of all the entries in each column of mtx_b. Data type supported: S32 |
[in] | info | Kernel metadata:
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Definition at line 191 of file CLGEMMLowpReductionKernel.cpp.
References ARM_COMPUTE_RETURN_ON_ERROR, and ARM_COMPUTE_UNUSED.
Referenced by CLGEMMLowpMatrixMultiplyCore::validate().