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Interface to convert the 2D Fully Connected weights from NCHW to NHWC or vice versa. More...
#include <CLConvertFullyConnectedWeightsKernel.h>
Public Member Functions | |
CLConvertFullyConnectedWeightsKernel () | |
Default constructor. More... | |
CLConvertFullyConnectedWeightsKernel (const CLConvertFullyConnectedWeightsKernel &)=delete | |
Prevent instances of this class from being copied (As this class contains pointers) More... | |
CLConvertFullyConnectedWeightsKernel & | operator= (const CLConvertFullyConnectedWeightsKernel &)=delete |
Prevent instances of this class from being copied (As this class contains pointers) More... | |
CLConvertFullyConnectedWeightsKernel (CLConvertFullyConnectedWeightsKernel &&)=default | |
Allow instances of this class to be moved. More... | |
CLConvertFullyConnectedWeightsKernel & | operator= (CLConvertFullyConnectedWeightsKernel &&)=default |
Allow instances of this class to be moved. More... | |
~CLConvertFullyConnectedWeightsKernel ()=default | |
Default destructor. More... | |
void | configure (const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout) |
Set the input and output tensor. More... | |
void | configure (const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout) |
Set the input and output tensor. 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_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 *input, const ITensorInfo *output, const TensorShape &original_input_shape, DataLayout data_layout) |
Static function to check if given info will lead to a valid configuration of CLConvertFullyConnectedWeightsKernel. 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 to convert the 2D Fully Connected weights from NCHW to NHWC or vice versa.
Definition at line 41 of file CLConvertFullyConnectedWeightsKernel.h.
Default constructor.
Definition at line 37 of file CLConvertFullyConnectedWeightsKernel.cpp.
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delete |
Prevent instances of this class from being copied (As this class contains pointers)
Allow instances of this class to be moved.
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default |
Default destructor.
void configure | ( | const ICLTensor * | input, |
ICLTensor * | output, | ||
const TensorShape & | original_input_shape, | ||
DataLayout | data_layout | ||
) |
Set the input and output tensor.
[in] | input | Source weights tensor to convert. Must be 2 dimensional. Data types supported: All. |
[out] | output | The converted weights tensor. Shape and Data Type: Same as input . |
[in] | original_input_shape | Shape of the original input tensor (the one entering fully connected layer). |
[in] | data_layout | The data layout the weights have been trained in. |
Definition at line 42 of file CLConvertFullyConnectedWeightsKernel.cpp.
References CLKernelLibrary::get().
void configure | ( | const CLCompileContext & | compile_context, |
const ICLTensor * | input, | ||
ICLTensor * | output, | ||
const TensorShape & | original_input_shape, | ||
DataLayout | data_layout | ||
) |
Set the input and output tensor.
[in] | compile_context | The compile context to be used. |
[in] | input | Source weights tensor to convert. Must be 2 dimensional. Data types supported: All. |
[out] | output | The converted weights tensor. Shape and Data Type: Same as input . |
[in] | original_input_shape | Shape of the original input tensor (the one entering fully connected layer). |
[in] | data_layout | The data layout the weights have been trained in. |
Definition at line 48 of file CLConvertFullyConnectedWeightsKernel.cpp.
References CLBuildOptions::add_option(), 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::CHANNEL, ICloneable< T >::clone(), arm_compute::create_kernel(), arm_compute::test::validation::data_layout, ITensorInfo::element_size(), arm_compute::get_cl_unsigned_type_from_element_size(), arm_compute::get_data_layout_dimension_index(), arm_compute::get_padding_info(), arm_compute::has_padding_changed(), arm_compute::HEIGHT, ITensor::info(), arm_compute::test::validation::input, arm_compute::NCHW, arm_compute::NHWC, CLBuildOptions::options(), arm_compute::support::cpp11::to_string(), CLConvertFullyConnectedWeightsKernel::validate(), and arm_compute::WIDTH.
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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. |
Reimplemented from ICLKernel.
Definition at line 111 of file CLConvertFullyConnectedWeightsKernel.cpp.
References ICLKernel::add_2D_tensor_argument(), ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, arm_compute::enqueue(), ICLKernel::lws_hint(), and IKernel::window().
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static |
Static function to check if given info will lead to a valid configuration of CLConvertFullyConnectedWeightsKernel.
[in] | input | Source weights tensor info to convert. Must be 2 dimensional. Data types supported: All. |
[in] | output | The converted weights tensor info. Shape and Data Type: Same as input . |
[in] | original_input_shape | Shape of the original input tensor (the one entering fully connected layer). |
[in] | data_layout | The data layout the weights have been trained in. |
Definition at line 91 of file CLConvertFullyConnectedWeightsKernel.cpp.
References ARM_COMPUTE_RETURN_ERROR_ON, ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED, ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES, ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES, ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR, ITensorInfo::data_type(), ITensorInfo::dimension(), ITensorInfo::num_dimensions(), ITensorInfo::total_size(), TensorShape::total_size_lower(), and arm_compute::UNKNOWN.
Referenced by CLConvertFullyConnectedWeightsKernel::configure(), and CLConvertFullyConnectedWeights::validate().