14 #include <arm_compute/runtime/NEON/functions/NEConvolutionLayer.h>
22 using namespace armcomputetensorutils;
29 bool isFastMathEnabled,
32 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.
m_DataLayout);
33 const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.
m_DataLayout);
34 arm_compute::TensorInfo aclWeightsInfo = BuildArmComputeTensorInfo(weights, descriptor.
m_DataLayout);
35 aclWeightsInfo.set_are_values_constant(weights.
IsConstant());
37 const arm_compute::Size2D aclDilationInfo = BuildArmComputeSize2D(descriptor.
m_DilationX,
40 arm_compute::TensorInfo aclBiasesInfo;
41 arm_compute::TensorInfo *optionalAclBiasesInfo =
nullptr;
48 "ArmNN NeonConvolution2dWorkload has empty bias value."};
51 if (!biases.
value().IsConstant())
54 "ArmNN NeonConvolution2dWorkload does not support non constant bias."};
56 aclBiasesInfo = BuildArmComputeTensorInfo(biases.
value(), descriptor.
m_DataLayout);
57 aclBiasesInfo.set_are_values_constant(biases.
value().IsConstant());
58 optionalAclBiasesInfo = &aclBiasesInfo;
61 arm_compute::PadStrideInfo layerInfo = BuildArmComputePadStrideInfo(descriptor);
64 activationDescriptor);
66 return arm_compute::NEConvolutionLayer::validate(&aclInputInfo,
68 optionalAclBiasesInfo,
71 arm_compute::WeightsInfo(),
80 std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager,
81 const bool isFastMathEnabled)
84 using arm_compute::NEConvolutionLayer;
89 arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(
m_Data.
m_Inputs[0])->GetTensor();
90 arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(
m_Data.
m_Outputs[0])->GetTensor();
93 input.info()->set_data_layout(aclDataLayout);
94 output.info()->set_data_layout(aclDataLayout);
96 m_KernelTensor = std::make_unique<arm_compute::Tensor>();
98 m_KernelTensor->info()->set_are_values_constant(
info.m_InputTensorInfos[1].IsConstant());
101 m_BiasTensor = std::make_unique<arm_compute::Tensor>();
103 m_BiasTensor->info()->set_are_values_constant(
info.m_InputTensorInfos[2].IsConstant());
108 arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(
m_Data.
m_Parameters);
115 auto convolutionLayer = std::make_unique<arm_compute::NEConvolutionLayer>(memoryManager);
116 convolutionLayer->configure(&input,
117 m_KernelTensor.get(),
121 arm_compute::WeightsInfo(),
126 m_ConvolutionMethod =
127 convolutionLayer->get_convolution_method(input.info(),
128 m_KernelTensor->info(),
131 arm_compute::WeightsInfo(),
155 m_ConvolutionLayer.reset(convolutionLayer.release());
158 m_KernelTensorInfo =
info.m_InputTensorInfos[1];
162 m_BiasTensorInfo =
info.m_InputTensorInfos[2];
178 m_ConvolutionLayer->prepare();
179 FreeTensorIfUnused(m_KernelTensor);
180 FreeTensorIfUnused(m_BiasTensor);
183 m_ConvolutionLayer->run();
188 return m_ConvolutionMethod;