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telsoa01c577f2c2018-08-31 09:22:23 +01001//
2// Copyright © 2017 Arm Ltd. All rights reserved.
David Beckecb56cd2018-09-05 12:52:57 +01003// SPDX-License-Identifier: MIT
telsoa01c577f2c2018-08-31 09:22:23 +01004//
5
6#pragma once
7
8#include <armnn/ArmNN.hpp>
9#include <armnn/Tensor.hpp>
10#include <armnn/TypesUtils.hpp>
arovir01616e7752018-10-01 17:08:59 +010011#include <armnnUtils/Half.hpp>
telsoa01c577f2c2018-08-31 09:22:23 +010012
13#include <backends/WorkloadInfo.hpp>
14#include <backends/CpuTensorHandle.hpp>
15
16#include <test/TensorHelpers.hpp>
17
telsoa01c577f2c2018-08-31 09:22:23 +010018
19LayerTestResult<armnn::Half, 4> SimpleConvertFp32ToFp16Test(armnn::IWorkloadFactory& workloadFactory)
20{
21 using namespace half_float::literal;
22
23 const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float32);
24 const armnn::TensorInfo outputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float16);
25
26 auto input = MakeTensor<float, 4>(inputTensorInfo,
27 { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
28 1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f });
29
30 LayerTestResult<armnn::Half, 4> ret(outputTensorInfo);
31 ret.outputExpected = MakeTensor<armnn::Half, 4>(outputTensorInfo,
32 { -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,
33 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 });
34
35 std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
36 std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
37
38 armnn::ConvertFp32ToFp16QueueDescriptor data;
39 armnn::WorkloadInfo info;
40 AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
41 AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
42
43 std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConvertFp32ToFp16(data, info);
44
45 inputHandle->Allocate();
46 outputHandle->Allocate();
47
48 CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]);
49
50 workload->Execute();
51
52 CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get());
53
54 return ret;
arovir01616e7752018-10-01 17:08:59 +010055}