79 : BaseWorkload<DepthwiseConvolution2dQueueDescriptor>(descriptor,
info)
82 WorkloadInfo detailsInfo;
84 detailsInfo.m_InputTensorInfos =
info.m_InputTensorInfos;
85 detailsInfo.m_OutputTensorInfos =
info.m_OutputTensorInfos;
87 if (descriptor.m_Parameters.m_BiasEnabled)
94 descriptor.m_Parameters,
100 ConstTensor weightPermuted;
101 unsigned int depthMultiplier;
104 info.m_InputTensorInfos[0],
106 permuteBuffer.get());
114 m_BiasTensor = std::make_unique<arm_compute::CLTensor>();
118 const arm_compute::Size2D aclDilationInfo = BuildArmComputeSize2D(
123 std::string name = std::string(
"ClDepthwiseConvolutionWorkload");
126 arm_compute::ICLTensor& input =
static_cast<IClTensorHandle*
>(
m_Data.
m_Inputs[0])->GetTensor();
127 arm_compute::ICLTensor& output =
static_cast<IClTensorHandle*
>(
m_Data.
m_Outputs[0])->GetTensor();
130 input.info()->set_data_layout(aclDataLayout);
131 output.info()->set_data_layout(aclDataLayout);
133 arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(
m_Data.
m_Parameters);
141 m_KernelTensor.get(),
151 ScopedTensorHandle weightsPermutedHandle(weightPermuted);
bool m_BiasEnabled
Enable/disable bias.
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
unsigned int GetNumBytes() const
std::unique_ptr< arm_compute::IFunction > m_DepthwiseConvolutionLayer
arm_compute::ActivationLayerInfo ConvertAdditionalInfoToAclActivationLayerInfo(const QueueDescriptor &queueDescriptor)
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
std::unique_ptr< arm_compute::CLTensor > m_BiasTensor
LayerDescriptor m_Parameters
uint32_t m_DilationY
Dilation factor value for height dimension.
const TensorInfo & GetTensorInfo() const
std::tuple< ConstTensor, unsigned int > Convert1HWOTensorToAcl(const ConstTensorHandle *weightTensor, const TensorInfo &inputInfo, const DataLayout dataLayout, void *permuteBuffer)
Weights for depthwise have a datalayout of [1,H,W,O] = [1,H,W,I*M] This function coverts a ConstCpuTe...
uint32_t m_DilationX
Dilation factor value for width dimension.
DepthwiseConvolution2dQueueDescriptor m_Data
const ConstTensorHandle * m_Bias
#define ARMNN_ASSERT(COND)
const ConstTensorHandle * m_Weight
std::unique_ptr< arm_compute::CLTensor > m_KernelTensor
std::vector< ITensorHandle * > m_Outputs
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
void InitializeArmComputeClTensorData(arm_compute::CLTensor &clTensor, const ConstTensorHandle *handle)
std::vector< ITensorHandle * > m_Inputs