10 #include <arm_compute/core/Types.h> 16 using namespace armcomputetensorutils;
26 std::vector<std::pair<unsigned int, unsigned int>> reversed_PadList(descriptor.
m_Parameters.
m_PadList.size());
30 std::begin(reversed_PadList));
32 arm_compute::PaddingList padList =
static_cast<arm_compute::PaddingList
>(reversed_PadList);
36 m_Layer.configure(&input, &output, padList, pixelValue);
49 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
50 const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
52 std::vector<std::pair<unsigned int, unsigned int>> reversed_PadList(descriptor.
m_PadList.size());
54 std::reverse_copy(std::begin(descriptor.
m_PadList),
56 std::begin(reversed_PadList));
58 arm_compute::PaddingList padList =
static_cast<arm_compute::PaddingList
>(reversed_PadList);
float m_PadValue
Optional value to use for padding, defaults to 0.
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
ClPadWorkload(const PadQueueDescriptor &descriptor, const WorkloadInfo &info)
const PadQueueDescriptor m_Data
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
std::vector< std::pair< unsigned int, unsigned int > > m_PadList
Specifies the padding for input dimension.
Copyright (c) 2020 ARM Limited.
LayerDescriptor m_Parameters
A PadDescriptor for the PadLayer.
void Execute() const override
arm_compute::Status ClPadValidate(const TensorInfo &input, const TensorInfo &output, const PadDescriptor &descriptor)
std::vector< ITensorHandle * > m_Outputs
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs