16 using namespace armcomputetensorutils;
27 input.info()->set_data_layout(aclDataLayout);
34 output.info()->set_data_layout(aclDataLayout);
36 m_Layer.configure(&input, blockWidth, blockHeight, &output);
49 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, dataLayout);
55 const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout);
57 const arm_compute::Status aclStatus = arm_compute::CLBatchToSpaceLayer::validate(&aclInputInfo,
arm_compute::Status ClBatchToSpaceNdWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &desc)
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
const BatchToSpaceNdQueueDescriptor m_Data
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) 2020 ARM Limited.
LayerDescriptor m_Parameters
A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer.
std::vector< unsigned int > m_BlockShape
Block shape values.
ClBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDescriptor &descriptor, const WorkloadInfo &info)
std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)
void Execute() const override
std::vector< ITensorHandle * > m_Outputs
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs