21 std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(inputInfo,
m_Data.
m_Inputs[0]->Map());
22 std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(outputInfo,
m_Data.
m_Outputs[0]->Map());
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
LayerDescriptor m_Parameters
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
const BatchToSpaceNdQueueDescriptor m_Data
CPU Execution: Reference C++ kernels.
virtual void Execute() const override
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs
std::vector< std::pair< unsigned int, unsigned int > > m_Crops
The values to crop from the input dimension.
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
std::vector< unsigned int > m_BlockShape
Block shape values.