47 std::unique_ptr<Decoder<float>> biasDecoder;
54 Convolve3d(inputShape, *inputDecoder, outputShape, *outputEncoder, filterInfo.GetShape(),
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
#define ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID(label)
Creates a profiling event that uses GetGuid() and GetName() from the calling class.
Convolution3dQueueDescriptor m_Data
RefBaseWorkload(const Convolution3dQueueDescriptor &descriptor, const WorkloadInfo &info)
void Execute() const override
RefConvolution3dWorkload(const Convolution3dQueueDescriptor &descriptor, const WorkloadInfo &info)
const TensorShape & GetShape() const
Copyright (c) 2021 ARM Limited and Contributors.
std::unique_ptr< Decoder< T > > MakeDecoder(const TensorInfo &info, const void *data=nullptr)
void Convolve3d(const TensorShape &rInputShape, Decoder< float > &rInputDecoder, const TensorShape &rOutputShape, Encoder< float > &rOutputEncoder, const TensorShape &rFilterShape, Decoder< float > &rFilterDecoder, bool biasEnabled, Decoder< float > *pBiasDecoder, DataLayout dataLayout, unsigned int paddingTop, unsigned int paddingLeft, unsigned int paddingFront, unsigned int xStride, unsigned int yStride, unsigned int zStride, unsigned int xDilation, unsigned int yDilation, unsigned int zDilation)
std::unique_ptr< Encoder< T > > MakeEncoder(const TensorInfo &info, void *data=nullptr)
armnn::TensorInfo GetTensorInfo(unsigned int numberOfBatches, unsigned int numberOfChannels, unsigned int height, unsigned int width, const armnn::DataLayout dataLayout, const armnn::DataType dataType)
uint32_t m_DilationZ
Dilation along z axis.
uint32_t m_DilationY
Dilation along y axis.
uint32_t m_StrideZ
Stride value when proceeding through input for the depth dimension.
uint32_t m_PadTop
Padding top value in the height dimension.
DataLayout m_DataLayout
The data layout to be used (NDHWC, NCDHW).
uint32_t m_PadFront
Padding front value in the depth dimension.
uint32_t m_DilationX
Dilation along x axis.
uint32_t m_PadLeft
Padding left value in the width dimension.
uint32_t m_StrideY
Stride value when proceeding through input for the height dimension.
bool m_BiasEnabled
Enable/disable bias.
uint32_t m_StrideX
Stride value when proceeding through input for the width dimension.
LayerDescriptor m_Parameters
Contains information about TensorInfos of a layer.
std::vector< TensorInfo > m_OutputTensorInfos
std::vector< TensorInfo > m_InputTensorInfos