19 #include <arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h> 24 using namespace armcomputetensorutils;
32 arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.
m_DataLayout);
33 arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.
m_DataLayout);
34 arm_compute::TensorInfo aclWeightsInfo = BuildArmComputeTensorInfo(weights, descriptor.
m_DataLayout);
36 arm_compute::TensorInfo aclBiasesInfo;
37 arm_compute::TensorInfo *optionalAclBiasesInfo =
nullptr;
43 aclBiasesInfo = BuildArmComputeTensorInfo(biases.
value(), descriptor.
m_DataLayout);
44 optionalAclBiasesInfo = &aclBiasesInfo;
47 arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(descriptor);
49 return arm_compute::CLDeconvolutionLayer::validate(&aclInputInfo,
51 optionalAclBiasesInfo,
59 std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager) :
65 m_WeightsTensor = std::make_unique<arm_compute::CLTensor>();
70 m_BiasesTensor = std::make_unique<arm_compute::CLTensor>();
81 input.info()->set_data_layout(aclDataLayout);
82 output.info()->set_data_layout(aclDataLayout);
84 arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(
m_Data.
m_Parameters);
85 m_Layer.configure(&input, m_WeightsTensor.get(), m_BiasesTensor.get(), &output, padStrideInfo);
104 void ClTransposeConvolution2dWorkload::FreeUnusedTensors()
106 FreeTensorIfUnused(m_WeightsTensor);
107 FreeTensorIfUnused(m_BiasesTensor);
A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.
void InitializeArmComputeClTensorData(arm_compute::CLTensor &clTensor, const ConstCpuTensorHandle *handle)
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
bool m_BiasEnabled
Enable/disable bias.
const TransposeConvolution2dQueueDescriptor m_Data
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2020 ARM Limited.
const ConstCpuTensorHandle * m_Weight
LayerDescriptor m_Parameters
const ConstCpuTensorHandle * m_Bias
bool has_value() const noexcept
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
std::vector< ITensorHandle * > m_Outputs
ClTransposeConvolution2dWorkload(const TransposeConvolution2dQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs
arm_compute::Status ClTransposeConvolution2dWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const TransposeConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases)
void Execute() const override
const TensorInfo & GetTensorInfo() const