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16 using namespace armcomputetensorutils;
22 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.
m_DataLayout);
23 const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.
m_DataLayout);
25 arm_compute::PoolingLayerInfo layerInfo = BuildArmComputePoolingLayerInfo(descriptor);
27 return arm_compute::CLPoolingLayer::validate(&aclInputInfo, &aclOutputInfo, layerInfo);
33 const arm_compute::CLCompileContext& clCompileContext)
48 input.info()->set_data_layout(aclDataLayout);
49 output.info()->set_data_layout(aclDataLayout);
54 bool fpMixedPrecision =
false;
56 arm_compute::PoolingLayerInfo layerInfo = BuildArmComputePoolingLayerInfo(
m_Data.
m_Parameters, fpMixedPrecision);
61 m_PoolingLayer.configure(clCompileContext, &input, &output, layerInfo);
arm::pipe::ProfilingGuid GetGuid() const final
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Pooling2dQueueDescriptor m_Data
Copyright (c) 2021 ARM Limited and Contributors.
void Execute() const override
ClPooling2dWorkload(const Pooling2dQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
arm_compute::Status ClPooling2dWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor)
Contains information about TensorInfos of a layer.
LayerDescriptor m_Parameters
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
A Pooling2dDescriptor for the Pooling2dLayer.
std::vector< ITensorHandle * > m_Outputs
#define ARMNN_SCOPED_PROFILING_EVENT_CL_GUID(name, guid)
std::vector< ITensorHandle * > m_Inputs