24.02.1
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Basic function to execute Winograd-based convolution on OpenCL. More...
#include <CLWinogradConvolutionLayer.h>
Public Member Functions | |
CLWinogradConvolutionLayer (std::shared_ptr< IMemoryManager > memory_manager=nullptr) | |
Default Constructor. More... | |
~CLWinogradConvolutionLayer () | |
Default Destructor. More... | |
CLWinogradConvolutionLayer (const CLWinogradConvolutionLayer &)=delete | |
Prevent instances of this class from being copied (As this class contains pointers) More... | |
CLWinogradConvolutionLayer (CLWinogradConvolutionLayer &&)=default | |
Default move constructor. More... | |
CLWinogradConvolutionLayer & | operator= (const CLWinogradConvolutionLayer &)=delete |
Prevent instances of this class from being copied (As this class contains pointers) More... | |
CLWinogradConvolutionLayer & | operator= (CLWinogradConvolutionLayer &&)=default |
Default move assignment operator. More... | |
void | configure (ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info=ActivationLayerInfo(), bool enable_fast_math=false) |
Set the input and output tensors. More... | |
void | configure (const CLCompileContext &compile_context, ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info=ActivationLayerInfo(), bool enable_fast_math=false) |
Set the input and output tensors. More... | |
void | run () override |
Run the kernels contained in the function. More... | |
void | prepare () override |
Prepare the function for executing. More... | |
Public Member Functions inherited from IFunction | |
virtual | ~IFunction ()=default |
Destructor. More... | |
Static Public Member Functions | |
static Status | validate (const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info=ActivationLayerInfo(), bool enable_fast_math=false) |
Static function to check if given info will lead to a valid configuration of CLWinogradConvolutionLayer. More... | |
Basic function to execute Winograd-based convolution on OpenCL.
This function calls the following OpenCL functions/kernels:
Definition at line 45 of file CLWinogradConvolutionLayer.h.
CLWinogradConvolutionLayer | ( | std::shared_ptr< IMemoryManager > | memory_manager = nullptr | ) |
Default Constructor.
Definition at line 50 of file CLWinogradConvolutionLayer.cpp.
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default |
Default Destructor.
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delete |
Prevent instances of this class from being copied (As this class contains pointers)
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default |
Default move constructor.
void configure | ( | const CLCompileContext & | compile_context, |
ICLTensor * | input, | ||
const ICLTensor * | weights, | ||
const ICLTensor * | biases, | ||
ICLTensor * | output, | ||
const PadStrideInfo & | conv_info, | ||
const ActivationLayerInfo & | act_info = ActivationLayerInfo() , |
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bool | enable_fast_math = false |
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Set the input and output tensors.
[in] | compile_context | The compile context to be used. |
[in] | input | Source tensor. 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: F16/F32. |
[in] | weights | Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as input . |
[in] | biases | Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].Data type supported: Same as input |
[out] | output | Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. Data types supported: Same as input . |
[in] | conv_info | Contains padding and stride information described in PadStrideInfo. |
[in] | act_info | (Optional) Activation layer information in case of a fused activation. |
[in] | enable_fast_math | (Optional) Enable fast math computation. In case this flag were set, the function could dispatch the fastest implementation available which may introduce a drop of accuracy as well. Default is false |
Definition at line 70 of file CLWinogradConvolutionLayer.cpp.
References arm_compute::ACL_DST, arm_compute::ACL_SRC_0, arm_compute::ACL_SRC_1, arm_compute::ACL_SRC_2, arm_compute::test::validation::act_info, arm_compute::test::validation::conv_info, ITensor::info(), and arm_compute::test::validation::input.
void configure | ( | ICLTensor * | input, |
const ICLTensor * | weights, | ||
const ICLTensor * | biases, | ||
ICLTensor * | output, | ||
const PadStrideInfo & | conv_info, | ||
const ActivationLayerInfo & | act_info = ActivationLayerInfo() , |
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bool | enable_fast_math = false |
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) |
Set the input and output tensors.
Valid data layouts:
Valid data type configurations:
src0 | src1 | src2 | dst |
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F16 | F16 | F16 | F16 |
F32 | F32 | F32 | F32 |
[in] | input | Source tensor. 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: F16/F32. |
[in] | weights | Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as input . |
[in] | biases | Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].Data type supported: Same as input |
[out] | output | Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. Data types supported: Same as input . |
[in] | conv_info | Contains padding and stride information described in PadStrideInfo. |
[in] | act_info | (Optional) Activation layer information in case of a fused activation. |
[in] | enable_fast_math | (Optional) Enable fast math computation. In case this flag were set, the function could dispatch the fastest implementation available which may introduce a drop of accuracy as well. Default is false |
Definition at line 58 of file CLWinogradConvolutionLayer.cpp.
References arm_compute::test::validation::act_info, arm_compute::test::validation::conv_info, CLKernelLibrary::get(), and arm_compute::test::validation::input.
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default |
Default move assignment operator.
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delete |
Prevent instances of this class from being copied (As this class contains pointers)
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overridevirtual |
Prepare the function for executing.
Any one off pre-processing step required by the function is handled here
Reimplemented from IFunction.
Definition at line 115 of file CLWinogradConvolutionLayer.cpp.
References arm_compute::ACL_SRC_1, and arm_compute::release_prepare_tensors().
Referenced by CLWinogradConvolutionLayer::run().
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overridevirtual |
Run the kernels contained in the function.
For CPU kernels:
For OpenCL kernels:
Implements IFunction.
Definition at line 108 of file CLWinogradConvolutionLayer.cpp.
References CLWinogradConvolutionLayer::prepare().
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static |
Static function to check if given info will lead to a valid configuration of CLWinogradConvolutionLayer.
[in] | input | Source tensor. 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: F16/F32. |
[in] | weights | Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as input . |
[in] | biases | Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].Data type supported: Same as input |
[out] | output | Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. Data types supported: Same as input . |
[in] | conv_info | Contains padding and stride information described in PadStrideInfo. |
[in] | act_info | (Optional) Activation layer information in case of a fused activation. |
[in] | enable_fast_math | (Optional) Enable fast math computation. In case this flag were set, the function could dispatch the fastest implementation available which may introduce a drop of accuracy as well. Default is false |
Definition at line 97 of file CLWinogradConvolutionLayer.cpp.
References arm_compute::test::validation::act_info, arm_compute::test::validation::conv_info, arm_compute::test::validation::input, and ClWinogradConv2d::validate().