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);
40 input.info()->set_data_layout(aclDataLayout);
41 output.info()->set_data_layout(aclDataLayout);
46 bool fpMixedPrecision =
false;
48 arm_compute::PoolingLayerInfo layerInfo = BuildArmComputePoolingLayerInfo(
m_Data.
m_Parameters, fpMixedPrecision);
51 m_PoolingLayer.configure(&input, &output, layerInfo);
void Execute() const override
ClPooling2dWorkload(const Pooling2dQueueDescriptor &descriptor, const WorkloadInfo &info)
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
const Pooling2dQueueDescriptor m_Data
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2020 ARM Limited.
LayerDescriptor m_Parameters
arm_compute::Status ClPooling2dWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor)
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
std::vector< ITensorHandle * > m_Outputs
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs
A Pooling2dDescriptor for the Pooling2dLayer.