18 using namespace armcomputetensorutils;
22 const arm_compute::CLCompileContext& clCompileContext)
35 input.info()->set_data_layout(aclDataLayout);
40 output.info()->set_data_layout(aclDataLayout);
42 m_Layer.configure(clCompileContext, &input, &output, blockSize);
56 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, dataLayout);
60 const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout);
62 const arm_compute::Status aclStatus = arm_compute::CLSpaceToDepthLayer::validate(&aclInputInfo,
#define ARMNN_SCOPED_PROFILING_EVENT_CL_GUID(name, guid)
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
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
arm_compute::Status ClSpaceToDepthWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &descriptor)
unsigned int m_BlockSize
Scalar specifying the input block size. It must be >= 1.
profiling::ProfilingGuid GetGuid() const final
ClSpaceToDepthWorkload(const SpaceToDepthQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
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
void Execute() const override