14 using namespace armcomputetensorutils;
20 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, desc.
m_DataLayout);
21 const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, desc.
m_DataLayout);
27 const arm_compute::Status aclStatus = arm_compute::NEBatchToSpaceLayer::validate(&aclInputInfo,
40 arm_compute::ITensor& input =
41 boost::polymorphic_pointer_downcast<IAclTensorHandle>(
m_Data.
m_Inputs[0])->GetTensor();
42 arm_compute::ITensor& output =
43 boost::polymorphic_pointer_downcast<IAclTensorHandle>(
m_Data.
m_Outputs[0])->GetTensor();
46 input.info()->set_data_layout(aclDataLayout);
47 output.info()->set_data_layout(aclDataLayout);
53 m_Layer.reset(
new arm_compute::NEBatchToSpaceLayer());
54 m_Layer->configure(&input, blockWidth, blockHeight, &output);
const BatchToSpaceNdQueueDescriptor m_Data
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
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.
virtual void Execute() const override
std::vector< unsigned int > m_BlockShape
Block shape values.
std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)
arm_compute::Status NeonBatchToSpaceNdWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &desc)
std::vector< ITensorHandle * > m_Outputs
NeonBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDescriptor &descriptor, const WorkloadInfo &info)
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs