18 using namespace armcomputetensorutils;
22 const arm_compute::CLCompileContext& clCompileContext)
36 input.info()->set_data_layout(aclDataLayout);
43 output.info()->set_data_layout(aclDataLayout);
47 m_Layer.configure(clCompileContext, &input, blockWidth, blockHeight, &output);
62 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, dataLayout);
68 const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout);
70 const arm_compute::Status aclStatus = arm_compute::CLBatchToSpaceLayer::validate(&aclInputInfo,
arm_compute::Status ClBatchToSpaceNdWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &descriptor)
#define ARMNN_SCOPED_PROFILING_EVENT_CL_GUID(name, guid)
ClBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2021 ARM Limited and Contributors.
LayerDescriptor m_Parameters
A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer.
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
std::vector< unsigned int > m_BlockShape
Block shape values.
BatchToSpaceNdQueueDescriptor m_Data
profiling::ProfilingGuid GetGuid() const final
void Execute() const override
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