17 #include <arm_compute/runtime/CL/functions/CLConvolutionLayer.h> 21 using namespace armcomputetensorutils;
28 bool isFastMathEnabled,
37 "ArmNN ClConvolution2dWorkload does not support non constant weights."};
40 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.
m_DataLayout);
41 const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.
m_DataLayout);
42 arm_compute::TensorInfo aclWeightsInfo = BuildArmComputeTensorInfo(weights, descriptor.
m_DataLayout);
43 aclWeightsInfo.set_are_values_constant(weights.
IsConstant());
45 const arm_compute::Size2D aclDilationInfo = BuildArmComputeSize2D(descriptor.
m_DilationX,
48 arm_compute::TensorInfo aclBiasesInfo;
49 arm_compute::TensorInfo *optionalAclBiasesInfo =
nullptr;
55 if (!biases.
value().IsConstant())
58 "ArmNN ClConvolution2dWorkload does not support non constant bias."};
60 aclBiasesInfo = BuildArmComputeTensorInfo(biases.
value(), descriptor.
m_DataLayout);
61 aclBiasesInfo.set_are_values_constant(biases.
value().IsConstant());
62 optionalAclBiasesInfo = &aclBiasesInfo;
65 arm_compute::PadStrideInfo layerInfo = BuildArmComputePadStrideInfo(descriptor);
68 activationDescriptor);
70 return arm_compute::CLConvolutionLayer::validate(&aclInputInfo,
72 optionalAclBiasesInfo,
75 arm_compute::WeightsInfo(),
83 std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager,
84 const arm_compute::CLCompileContext& clCompileContext,
85 const bool isFastMathEnabled)
87 , m_ConvolutionLayer(memoryManager)
100 arm_compute::ICLTensor* bias =
nullptr;
107 m_InputProxy = std::make_unique<ICLTensorProxy>(&input);
108 m_OutputProxy = std::make_unique<ICLTensorProxy>(&output);
112 input.info()->set_data_layout(aclDataLayout);
113 output.info()->set_data_layout(aclDataLayout);
114 weights.info()->set_data_layout(aclDataLayout);
116 arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(
m_Data.
m_Parameters);
122 m_ConvolutionLayer.configure(clCompileContext,
128 arm_compute::WeightsInfo(),
134 m_ConvolutionMethod =
135 m_ConvolutionLayer.get_convolution_method(input.info(),
139 arm_compute::WeightsInfo(),
141 arm_compute::CLScheduler::get().target(),
172 return m_ConvolutionMethod;
180 m_InputProxy->set(&input);
181 m_OutputProxy->set(&output);
bool m_BiasEnabled
Enable/disable bias.
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
#define ARMNN_SCOPED_PROFILING_EVENT_CL_GUID(name, guid)
std::string GetConvolutionMethodString(arm_compute::ConvolutionMethod &convolutionMethod)
Optional< std::string > m_ConvolutionMethod
void Reconfigure() override
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
A Convolution2dDescriptor for the Convolution2dLayer.
arm_compute::ActivationLayerInfo ConvertAdditionalInfoToAclActivationLayerInfo(const QueueDescriptor &queueDescriptor)
arm::pipe::ProfilingGuid GetGuid() const final
const ConstTensorHandle * m_Weight
const ConstTensorHandle * m_Bias
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2021 ARM Limited and Contributors.
arm_compute::Status ClConvolution2dWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, bool isFastMathEnabled, const ActivationDescriptor *activationDescriptor)
uint32_t m_DilationY
Dilation along y axis.
LayerDescriptor m_Parameters
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
const TensorInfo & GetTensorInfo() const
std::vector< TensorInfo > m_InputTensorInfos
arm_compute::ConvolutionMethod GetConvolutionMethod() const
ClConvolution2dWorkload(const Convolution2dQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager, const arm_compute::CLCompileContext &clCompileContext, const bool isFastMathEnabled=false)
Convolution2dQueueDescriptor m_Data
bool has_value() const noexcept
#define ARMNN_ASSERT(COND)
std::vector< TensorInfo > m_OutputTensorInfos
An ActivationDescriptor for the ActivationLayer.
Optional< TensorInfo > m_BiasTensorInfo
uint32_t m_DilationX
Dilation along x axis.
std::vector< ITensorHandle * > m_Outputs
void Execute() const override
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
Contains information about TensorInfos of a layer.
std::vector< ITensorHandle * > m_Inputs
Optional< TensorInfo > m_WeightsTensorInfo
arm_compute::ActivationLayerInfo ConvertActivationDescriptorToAclActivationLayerInfo(const ActivationDescriptor &actDesc)