diff options
Diffstat (limited to 'src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp')
-rw-r--r-- | src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp | 25 |
1 files changed, 16 insertions, 9 deletions
diff --git a/src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp b/src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp index b9736db642..8eef587644 100644 --- a/src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp +++ b/src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp @@ -17,11 +17,17 @@ namespace armnn { using namespace armcomputetensorutils; -ClBatchToSpaceNdWorkload::ClBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDescriptor& desc, +ClBatchToSpaceNdWorkload::ClBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDescriptor& descriptor, const WorkloadInfo& info, const arm_compute::CLCompileContext& clCompileContext) - : BaseWorkload<BatchToSpaceNdQueueDescriptor>(desc, info) + : BaseWorkload<BatchToSpaceNdQueueDescriptor>(descriptor, info) { + // Report Profiling Details + ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClBatchToSpaceWorkload_Construct", + descriptor.m_Parameters, + info, + this->GetGuid()); + m_Data.ValidateInputsOutputs("ClBatchToSpaceNdWorkload", 1, 1); arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); @@ -30,8 +36,8 @@ ClBatchToSpaceNdWorkload::ClBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDesc input.info()->set_data_layout(aclDataLayout); // ArmNN blockShape is [H, W] Cl asks for W, H - int32_t blockHeight = armnn::numeric_cast<int32_t>(desc.m_Parameters.m_BlockShape[0]); - int32_t blockWidth = armnn::numeric_cast<int32_t>(desc.m_Parameters.m_BlockShape[1]); + int32_t blockHeight = armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockShape[0]); + int32_t blockWidth = armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockShape[1]); arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); output.info()->set_data_layout(aclDataLayout); @@ -41,19 +47,20 @@ ClBatchToSpaceNdWorkload::ClBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDesc void ClBatchToSpaceNdWorkload::Execute() const { - ARMNN_SCOPED_PROFILING_EVENT_CL("ClBatchToSpaceNdWorkload_Execute"); + ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClBatchToSpaceNdWorkload_Execute", this->GetGuid()); RunClFunction(m_Layer, CHECK_LOCATION()); } arm_compute::Status ClBatchToSpaceNdWorkloadValidate(const TensorInfo& input, const TensorInfo& output, - const BatchToSpaceNdDescriptor& desc) { - DataLayout dataLayout = desc.m_DataLayout; + const BatchToSpaceNdDescriptor& descriptor) +{ + DataLayout dataLayout = descriptor.m_DataLayout; const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, dataLayout); // ArmNN blockShape is [H, W] Cl asks for W, H - int32_t blockHeight = armnn::numeric_cast<int32_t>(desc.m_BlockShape[0]); - int32_t blockWidth = armnn::numeric_cast<int32_t>(desc.m_BlockShape[1]); + int32_t blockHeight = armnn::numeric_cast<int32_t>(descriptor.m_BlockShape[0]); + int32_t blockWidth = armnn::numeric_cast<int32_t>(descriptor.m_BlockShape[1]); const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout); |