14 using namespace armcomputetensorutils;
20 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.
m_DataLayout);
21 const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.
m_DataLayout);
27 arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(
29 arm_compute::Size2D paddingRightBottom = BuildArmComputeSize2D(
32 return arm_compute::NESpaceToBatchLayer::validate(&aclInputInfo,
46 arm_compute::ITensor& input =
47 boost::polymorphic_pointer_downcast<IAclTensorHandle>(
m_Data.
m_Inputs[0])->GetTensor();
48 arm_compute::ITensor& output =
49 boost::polymorphic_pointer_downcast<IAclTensorHandle>(
m_Data.
m_Outputs[0])->GetTensor();
55 arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(
57 arm_compute::Size2D paddingRightBottom = BuildArmComputeSize2D(
61 input.info()->set_data_layout(aclDataLayout);
62 output.info()->set_data_layout(aclDataLayout);
64 m_Layer.reset(
new arm_compute::NESpaceToBatchLayer());
65 m_Layer->configure(&input,
const SpaceToBatchNdQueueDescriptor m_Data
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
virtual void Execute() const override
Copyright (c) 2020 ARM Limited.
std::vector< std::pair< unsigned int, unsigned int > > m_PadList
Specifies the padding values for the input dimension: heightPad{top, bottom} widthPad{left, right}.
LayerDescriptor m_Parameters
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
arm_compute::Status NeonSpaceToBatchNdWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const SpaceToBatchNdDescriptor &descriptor)
NeonSpaceToBatchNdWorkload(const SpaceToBatchNdQueueDescriptor &descriptor, const WorkloadInfo &info)
std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)
std::vector< unsigned int > m_BlockShape
Block shape value.
A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer.
std::vector< ITensorHandle * > m_Outputs
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs