src/backends/cl/workloads/ClSubtractionWorkload.cpp

   1 //
   2 // Copyright © 2017 Arm Ltd. All rights reserved.
   3 // SPDX-License-Identifier: MIT
   4 //
   5
   6 #include "ClSubtractionWorkload.hpp"
   7
   8 #include <backends/cl/ClTensorHandle.hpp>
   9 #include <backends/CpuTensorHandle.hpp>
  10 #include <backends/aclCommon/ArmComputeTensorUtils.hpp>
  11
  12 #include "ClWorkloadUtils.hpp"
  13
  14 namespace armnn
  15 {
  16 using namespace armcomputetensorutils;
  17
  18 static constexpr arm_compute::ConvertPolicy g_AclConvertPolicy = arm_compute::ConvertPolicy::SATURATE;
  19
  20 template <armnn::DataType... T>
  21 ClSubtractionWorkload<T...>::ClSubtractionWorkload(const SubtractionQueueDescriptor& descriptor,
  22                                                            const WorkloadInfo& info)
  23     : TypedWorkload<SubtractionQueueDescriptor, T...>(descriptor, info)
  24 {
  25     this->m_Data.ValidateInputsOutputs("ClSubtractionWorkload", 2, 1);
  26
  27     arm_compute::ICLTensor& input0 = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[0])->GetTensor();
  28     arm_compute::ICLTensor& input1 = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[1])->GetTensor();
  29     arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(this->m_Data.m_Outputs[0])->GetTensor();
  30     m_Layer.configure(&input0, &input1, &output, g_AclConvertPolicy);
  31 }
  32
  33 template <armnn::DataType... T>
  34 void ClSubtractionWorkload<T...>::Execute() const
  35 {
  36     ARMNN_SCOPED_PROFILING_EVENT_CL("ClSubtractionWorkload_Execute");
  37     m_Layer.run();
  38 }
  39
  40 bool ClSubtractionValidate(const TensorInfo& input0,
  41                            const TensorInfo& input1,
  42                            const TensorInfo& output,
  43                            std::string* reasonIfUnsupported)
  44 {
  45     const arm_compute::TensorInfo aclInput0Info = BuildArmComputeTensorInfo(input0);
  46     const arm_compute::TensorInfo aclInput1Info = BuildArmComputeTensorInfo(input1);
  47     const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
  48
  49     const arm_compute::Status aclStatus = arm_compute::CLArithmeticSubtraction::validate(&aclInput0Info,
  50                                                                                          &aclInput1Info,
  51                                                                                          &aclOutputInfo,
  52                                                                                          g_AclConvertPolicy);
  53
  54     const bool supported = (aclStatus.error_code() == arm_compute::ErrorCode::OK);
  55     if (!supported && reasonIfUnsupported)
  56     {
  57         *reasonIfUnsupported = aclStatus.error_description();
  58     }
  59
  60     return supported;
  61 }
  62
  63 } //namespace armnn
  64
  65 template class armnn::ClSubtractionWorkload<armnn::DataType::Float16, armnn::DataType::Float32>;
  66 template class armnn::ClSubtractionWorkload<armnn::DataType::QuantisedAsymm8>;