Release 18.08
[platform/upstream/armnn.git] / src / armnn / backends / test / ConvertFp16ToFp32TestImpl.hpp
1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // See LICENSE file in the project root for full license information.
4 //
5
6 #pragma once
7
8 #include <armnn/ArmNN.hpp>
9 #include <armnn/Tensor.hpp>
10 #include <armnn/TypesUtils.hpp>
11
12 #include <backends/WorkloadInfo.hpp>
13 #include <backends/CpuTensorHandle.hpp>
14
15 #include <test/TensorHelpers.hpp>
16
17 #include <Half.hpp>
18
19 LayerTestResult<float, 4> SimpleConvertFp16ToFp32Test(armnn::IWorkloadFactory& workloadFactory)
20 {
21     using namespace half_float::literal;
22
23     const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float16);
24     const armnn::TensorInfo outputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float32);
25
26     auto input = MakeTensor<armnn::Half, 4>(inputTensorInfo,
27         { -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,
28           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 });
29
30     LayerTestResult<float, 4> ret(outputTensorInfo);
31     ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo,
32         { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
33           1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f });
34
35     std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
36     std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
37
38     armnn::ConvertFp16ToFp32QueueDescriptor 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.CreateConvertFp16ToFp32(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;
55 }