17 using namespace armcomputetensorutils;
24 const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, dataLayout);
25 const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, dataLayout);
29 return arm_compute::NESpaceToDepthLayer::validate(&aclInput, &aclOutput, blockSize);
46 arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(
m_Data.
m_Inputs[0])->GetTensor();
47 input.info()->set_data_layout(aclDataLayout);
51 arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(
m_Data.
m_Outputs[0])->GetTensor();
52 output.info()->set_data_layout(aclDataLayout);
54 m_Layer.reset(
new arm_compute::NESpaceToDepthLayer());
55 m_Layer->configure(&input, &output, blockSize);
arm_compute::Status NeonSpaceToDepthWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &descriptor)
arm::pipe::ProfilingGuid GetGuid() const final
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2021 ARM Limited and Contributors.
A SpaceToDepthDescriptor for the SpaceToDepthLayer.
LayerDescriptor m_Parameters
SpaceToDepthQueueDescriptor m_Data
virtual void Execute() const override
unsigned int m_BlockSize
Scalar specifying the input block size. It must be >= 1.
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
NeonSpaceToDepthWorkload(const SpaceToDepthQueueDescriptor &descriptor, const WorkloadInfo &info)
std::vector< ITensorHandle * > m_Outputs
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)
Contains information about TensorInfos of a layer.
std::vector< ITensorHandle * > m_Inputs
#define ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID(name, guid)