17 #include <arm_compute/runtime/CL/functions/CLConvolutionLayer.h> 21 using namespace armcomputetensorutils;
29 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.
m_DataLayout);
30 const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.
m_DataLayout);
31 const arm_compute::TensorInfo aclWeightsInfo = BuildArmComputeTensorInfo(weights, descriptor.
m_DataLayout);
33 const arm_compute::Size2D aclDilationInfo = BuildArmComputeSize2D(descriptor.
m_DilationX,
36 arm_compute::TensorInfo aclBiasesInfo;
37 arm_compute::TensorInfo *optionalAclBiasesInfo =
nullptr;
43 aclBiasesInfo = BuildArmComputeTensorInfo(biases.
value(), descriptor.
m_DataLayout);
44 optionalAclBiasesInfo = &aclBiasesInfo;
47 arm_compute::PadStrideInfo layerInfo = BuildArmComputePadStrideInfo(descriptor);
49 return arm_compute::CLConvolutionLayer::validate(&aclInputInfo,
51 optionalAclBiasesInfo,
54 arm_compute::WeightsInfo(),
59 const WorkloadInfo&
info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
61 , m_ConvolutionLayer(memoryManager)
66 m_KernelTensor = std::make_unique<arm_compute::CLTensor>();
74 m_BiasTensor = std::make_unique<arm_compute::CLTensor>();
84 input.info()->set_data_layout(aclDataLayout);
85 output.info()->set_data_layout(aclDataLayout);
87 arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(
m_Data.
m_Parameters);
89 m_ConvolutionLayer.configure(&input,
94 arm_compute::WeightsInfo(),
106 m_ConvolutionLayer.prepare();
116 void ClConvolution2dWorkload::FreeUnusedTensors()
118 FreeTensorIfUnused(m_KernelTensor);
119 FreeTensorIfUnused(m_BiasTensor);
bool m_BiasEnabled
Enable/disable bias.
const ConstCpuTensorHandle * m_Bias
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
void InitializeArmComputeClTensorData(arm_compute::CLTensor &clTensor, const ConstCpuTensorHandle *handle)
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
A Convolution2dDescriptor for the Convolution2dLayer.
const Convolution2dQueueDescriptor m_Data
arm_compute::Status ClConvolution2dWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases)
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2020 ARM Limited.
uint32_t m_DilationY
Dilation along y axis.
LayerDescriptor m_Parameters
ClConvolution2dWorkload(const Convolution2dQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)
const ConstCpuTensorHandle * m_Weight
bool has_value() const noexcept
uint32_t m_DilationX
Dilation along x axis.
std::vector< ITensorHandle * > m_Outputs
void Execute() const override
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs
const TensorInfo & GetTensorInfo() const