13 using namespace armcomputetensorutils;
20 const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, dataLayout);
21 const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, dataLayout);
23 int32_t blockSize = boost::numeric_cast<int32_t>(descriptor.
m_BlockSize);
25 return arm_compute::NESpaceToDepthLayer::validate(&aclInput, &aclOutput, blockSize);
36 arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(
m_Data.
m_Inputs[0])->GetTensor();
37 input.info()->set_data_layout(aclDataLayout);
41 arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(
m_Data.
m_Outputs[0])->GetTensor();
42 output.info()->set_data_layout(aclDataLayout);
44 m_Layer.reset(
new arm_compute::NESpaceToDepthLayer());
45 m_Layer->configure(&input, &output, blockSize);
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
LayerDescriptor m_Parameters
A SpaceToDepthDescriptor for the SpaceToDepthLayer.
arm_compute::Status NeonSpaceToDepthWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &descriptor)
const SpaceToDepthQueueDescriptor m_Data
NeonSpaceToDepthWorkload(const SpaceToDepthQueueDescriptor &descriptor, const WorkloadInfo &info)
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
unsigned int m_BlockSize
Scalar specifying the input block size. It must be >= 1.
virtual void Execute() const override
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs