13 #include <boost/polymorphic_pointer_cast.hpp> 17 using namespace armcomputetensorutils;
28 input.info()->set_data_layout(aclDataLayout);
33 output.info()->set_data_layout(aclDataLayout);
35 m_Layer.configure(&input, &output, blockSize);
49 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, dataLayout);
51 int32_t blockSize = boost::numeric_cast<int32_t>(desc.
m_BlockSize);
53 const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout);
55 const arm_compute::Status aclStatus = arm_compute::CLSpaceToDepthLayer::validate(&aclInputInfo,
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
LayerDescriptor m_Parameters
A SpaceToDepthDescriptor for the SpaceToDepthLayer.
const SpaceToDepthQueueDescriptor m_Data
ClSpaceToDepthWorkload(const SpaceToDepthQueueDescriptor &descriptor, const WorkloadInfo &info)
void Execute() const override
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
unsigned int m_BlockSize
Scalar specifying the input block size. It must be >= 1.
arm_compute::Status ClSpaceToDepthWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &desc)
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)