src/backends/test/ConvertFp32ToFp16TestImpl.hpp

   1 //
   2 // Copyright © 2017 Arm Ltd. All rights reserved.
   3 // SPDX-License-Identifier: MIT
   4 //
   5
   6 #pragma once
   7
   8 #include <armnn/ArmNN.hpp>
   9 #include <armnn/Tensor.hpp>
  10 #include <armnn/TypesUtils.hpp>
  11 #include <armnnUtils/Half.hpp>
  12
  13 #include <backends/CpuTensorHandle.hpp>
  14
  15 #include <test/TensorHelpers.hpp>
  16
  17
  18 LayerTestResult<armnn::Half, 4> SimpleConvertFp32ToFp16Test(armnn::IWorkloadFactory& workloadFactory)
  19 {
  20     using namespace half_float::literal;
  21
  22     const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float32);
  23     const armnn::TensorInfo outputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float16);
  24
  25     auto input = MakeTensor<float, 4>(inputTensorInfo,
  26         { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
  27           1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f });
  28
  29     LayerTestResult<armnn::Half, 4> ret(outputTensorInfo);
  30     ret.outputExpected = MakeTensor<armnn::Half, 4>(outputTensorInfo,
  31         { -37.5_h, -15.2_h, -8.76_h, -2.0_h, -1.5_h, -1.3_h, -0.5_h, -0.4_h, 0.0_h,
  32           1.0_h, 0.4_h, 0.5_h, 1.3_h, 1.5_h, 2.0_h, 8.76_h, 15.2_h, 37.5_h });
  33
  34     std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
  35     std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
  36
  37     armnn::ConvertFp32ToFp16QueueDescriptor data;
  38     armnn::WorkloadInfo info;
  39     AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
  40     AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
  41
  42     std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConvertFp32ToFp16(data, info);
  43
  44     inputHandle->Allocate();
  45     outputHandle->Allocate();
  46
  47     CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]);
  48
  49     workload->Execute();
  50
  51     CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get());
  52
  53     return ret;
  54 }