// // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // #include "ClConvertFp32ToFp16Workload.hpp" #include #include "ClWorkloadUtils.hpp" namespace armnn { using namespace armcomputetensorutils; static constexpr arm_compute::ConvertPolicy g_AclConvertPolicy = arm_compute::ConvertPolicy::SATURATE; ClConvertFp32ToFp16Workload::ClConvertFp32ToFp16Workload( const ConvertFp32ToFp16QueueDescriptor& descriptor, const WorkloadInfo& info, const arm_compute::CLCompileContext& clCompileContext) : Float32ToFloat16Workload(descriptor, info) { this->m_Data.ValidateInputsOutputs("ClConvertFp32ToFp16Workload", 1, 1); arm_compute::ICLTensor& input = static_cast(this->m_Data.m_Inputs[0])->GetTensor(); arm_compute::ICLTensor& output = static_cast(this->m_Data.m_Outputs[0])->GetTensor(); { ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "ClConvertFp32ToFp16Workload_configure"); m_Layer.configure(clCompileContext, &input, &output, g_AclConvertPolicy, 0); } } void ClConvertFp32ToFp16Workload::Execute() const { ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClConvertFp32ToFp16Workload_Execute", this->GetGuid()); RunClFunction(m_Layer, CHECK_LOCATION()); } arm_compute::Status ClConvertFp32ToFp16WorkloadValidate(const TensorInfo& input, const TensorInfo& output) { if (input.GetDataType() != DataType::Float32) { return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR, "Input should be Float32"); } if (output.GetDataType() != DataType::Float16) { return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR, "Output should be Float16"); } const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input); const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output); const arm_compute::Status aclStatus = arm_compute::CLDepthConvertLayer::validate( &aclInputInfo, &aclOutputInfo, g_AclConvertPolicy, 0); return aclStatus; } } //namespace armnn