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Interface for the kernel to run a 3x3 depthwise convolution on a tensor when the data layout is NHWC. More...
#include <CLDepthwiseConvolutionLayer3x3NHWCKernel.h>
Public Member Functions | |
CLDepthwiseConvolutionLayer3x3NHWCKernel () | |
Default constructor. More... | |
void | configure (const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier=1, ActivationLayerInfo act_info=ActivationLayerInfo(), const Size2D &dilation=Size2D(1U, 1U), const ICLTensor *output_multipliers=nullptr, const ICLTensor *output_shifts=nullptr) override |
Default move assignment operator. More... | |
void | configure (const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier=1, ActivationLayerInfo act_info=ActivationLayerInfo(), const Size2D &dilation=Size2D(1U, 1U), const ICLTensor *output_multipliers=nullptr, const ICLTensor *output_shifts=nullptr) override |
Initialize the function's source, destination, conv and border_size. 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... | |
BorderSize | border_size () const override |
The size of the border for that kernel. More... | |
Public Member Functions inherited from ICLDepthwiseConvolutionLayer3x3Kernel | |
ICLDepthwiseConvolutionLayer3x3Kernel () | |
Default constructor. More... | |
ICLDepthwiseConvolutionLayer3x3Kernel (const ICLDepthwiseConvolutionLayer3x3Kernel &)=delete | |
Prevent instances of this class from being copied (As this class contains pointers) More... | |
ICLDepthwiseConvolutionLayer3x3Kernel & | operator= (const ICLDepthwiseConvolutionLayer3x3Kernel &)=delete |
Prevent instances of this class from being copied (As this class contains pointers) More... | |
ICLDepthwiseConvolutionLayer3x3Kernel (ICLDepthwiseConvolutionLayer3x3Kernel &&)=default | |
Default Move Constructor. More... | |
ICLDepthwiseConvolutionLayer3x3Kernel & | operator= (ICLDepthwiseConvolutionLayer3x3Kernel &&)=default |
Default move assignment operator. 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... | |
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 *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier=1, ActivationLayerInfo act_info=ActivationLayerInfo(), const Size2D &dilation=Size2D(1U, 1U), const ITensorInfo *output_multipliers=nullptr, const ITensorInfo *output_shifts=nullptr) |
Static function to check if given info will lead to a valid configuration of CLDepthwiseConvolutionLayer3x3NHWCKernel. 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 kernel to run a 3x3 depthwise convolution on a tensor when the data layout is NHWC.
Definition at line 35 of file CLDepthwiseConvolutionLayer3x3NHWCKernel.h.
Default constructor.
Definition at line 185 of file CLDepthwiseConvolutionLayer3x3NHWCKernel.cpp.
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overridevirtual |
The size of the border for that kernel.
Reimplemented from IKernel.
Definition at line 190 of file CLDepthwiseConvolutionLayer3x3NHWCKernel.cpp.
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overridevirtual |
Default move assignment operator.
Initialize the function's source, destination, conv and border_size.
[in] | input | Source tensor. DataType supported: QASYMM8/QASYMM8_SIGNED/F16/F32. |
[in] | weights | Weights tensor. A 3D tensor with dimensions [IFM, 3, 3]. Data type supported: Same as input or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when input is QASYMM8/QASYMM8_SIGNED. |
[in] | biases | Biases tensor. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed. Data type supported: Same as input , S32 when input is QASYMM8/QASYMM8_SIGNED. |
[out] | output | Destination tensor. Data type supported: Same as input . |
[in] | conv_info | Padding and stride information to use for the convolution. |
[in] | depth_multiplier | (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. |
[in] | act_info | (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU are supported. |
[in] | dilation | (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). |
[in] | output_multipliers | (Optional) Output multipliers tensor for quantized computations. In case of per-channel quantization, the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 |
[in] | output_shifts | (Optional) Output shifts tensor for quantized computations. In case of per-channel quantization, the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 |
Implements ICLDepthwiseConvolutionLayer3x3Kernel.
Definition at line 195 of file CLDepthwiseConvolutionLayer3x3NHWCKernel.cpp.
References CLKernelLibrary::get().
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overridevirtual |
Initialize the function's source, destination, conv and border_size.
[in] | compile_context | The compile context to be used. |
[in] | input | Source tensor. DataType supported: QASYMM8/QASYMM8_SIGNED/F16/F32. |
[in] | weights | Weights tensor. A 3D tensor with dimensions [IFM, 3, 3]. Data type supported: Same as input or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when input is QASYMM8/QASYMM8_SIGNED. |
[in] | biases | Biases tensor. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed. Data type supported: Same as input , S32 when input is QASYMM8/QASYMM8_SIGNED. |
[out] | output | Destination tensor. Data type supported: Same as input . |
[in] | conv_info | Padding and stride information to use for the convolution. |
[in] | depth_multiplier | (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. |
[in] | act_info | (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU are supported. |
[in] | dilation | (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). |
[in] | output_multipliers | (Optional) Output multipliers tensor for quantized computations. In case of per-channel quantization, the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 |
[in] | output_shifts | (Optional) Output shifts tensor for quantized computations. In case of per-channel quantization, the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 |
Implements ICLDepthwiseConvolutionLayer3x3Kernel.
Definition at line 202 of file CLDepthwiseConvolutionLayer3x3NHWCKernel.cpp.
References CLBuildOptions::add_option(), CLBuildOptions::add_option_if(), arm_compute::adjust_vec_size(), ARM_COMPUTE_ERROR_ON, ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, arm_compute::quantization::calculate_quantized_multiplier(), arm_compute::test::validation::conv_info, arm_compute::create_kernel(), ITensorInfo::data_type(), ITensorInfo::dimension(), arm_compute::dot8_supported(), ITensorInfo::element_size(), arm_compute::float_to_string_with_full_precision(), CLKernelLibrary::get(), arm_compute::get_cl_promoted_type_from_data_type(), arm_compute::get_cl_type_from_data_type(), arm_compute::get_padding_info(), arm_compute::get_quantized_activation_min_max(), arm_compute::has_padding_changed(), ITensor::info(), arm_compute::test::validation::input, arm_compute::is_data_type_quantized_asymmetric(), arm_compute::is_data_type_quantized_per_channel(), kernel_name, arm_compute::lower_string(), UniformQuantizationInfo::offset, CLBuildOptions::options(), PadStrideInfo::pad_left(), PadStrideInfo::pad_right(), PadStrideInfo::pad_top(), ITensorInfo::padding(), UniformQuantizationInfo::scale, PadStrideInfo::stride(), arm_compute::string_from_activation_func(), arm_compute::string_from_data_type(), arm_compute::support::cpp11::to_string(), and arm_compute::validate_arguments().
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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 375 of file CLDepthwiseConvolutionLayer3x3NHWCKernel.cpp.
References ICLKernel::add_1D_tensor_argument(), ICLKernel::add_2D_tensor_argument(), ICLKernel::add_3D_tensor_argument(), ICLKernel::add_4D_tensor_argument(), ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, Window::collapse_if_possible(), Window::DimX, Window::DimZ, arm_compute::enqueue(), Window::first_slice_window_4D(), ICLKernel::lws_hint(), ICLKernel::num_arguments_per_2D_tensor(), ICLKernel::num_arguments_per_3D_tensor(), ICLKernel::num_arguments_per_4D_tensor(), Window::set(), Window::set_dimension_step(), arm_compute::test::validation::reference::slice(), Window::slide_window_slice_4D(), Window::Dimension::step(), Window::use_tensor_dimensions(), IKernel::window(), and Window::x().
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Static function to check if given info will lead to a valid configuration of CLDepthwiseConvolutionLayer3x3NHWCKernel.
[in] | input | Source tensor info. DataType supported: QASYMM8/QASYMM8_SIGNED/F16/F32. |
[in] | weights | Weights tensor info. A 3D tensor with dimensions [IFM, 3, 3]. Data type supported: Same as input or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when input is QASYMM8/QASYMM8_SIGNED. |
[in] | biases | Biases tensor info. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed. Data type supported: Same as input , S32 when input is QASYMM8/QASYMM8_SIGNED. |
[in] | output | Destination tensor info. Data type supported: Same as input . |
[in] | conv_info | Padding and stride information to use for the convolution. |
[in] | depth_multiplier | (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. |
[in] | act_info | (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU are supported. |
[in] | dilation | (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). |
[in] | output_multipliers | (Optional) Output multipliers tensor info for quantized computations. In case of per-channel quantization, the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 |
[in] | output_shifts | (Optional) Output shifts tensor for quantized computations. In case of per-channel quantization, the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 |
Definition at line 361 of file CLDepthwiseConvolutionLayer3x3NHWCKernel.cpp.
References ARM_COMPUTE_RETURN_ON_ERROR, ICloneable< T >::clone(), arm_compute::test::validation::conv_info, and arm_compute::validate_arguments().