1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "ConvertFp16ToFp32TestImpl.hpp"
7
8 #include <Half.hpp>
9
10
11 #include <backendsCommon/test/TensorCopyUtils.hpp>
12 #include <backendsCommon/test/WorkloadTestUtils.hpp>
13
14 #include <test/TensorHelpers.hpp>
15
SimpleConvertFp16ToFp32Test(armnn::IWorkloadFactory & workloadFactory,const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager,const armnn::ITensorHandleFactory & tensorHandleFactory)16 LayerTestResult<float, 4> SimpleConvertFp16ToFp32Test(
17 armnn::IWorkloadFactory& workloadFactory,
18 const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
19 const armnn::ITensorHandleFactory& tensorHandleFactory)
20 {
21 IgnoreUnused(memoryManager);
22 using namespace half_float::literal;
23
24 const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float16);
25 const armnn::TensorInfo outputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float32);
26
27 auto input = MakeTensor<armnn::Half, 4>(inputTensorInfo,
28 { -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,
29 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 });
30
31 LayerTestResult<float, 4> ret(outputTensorInfo);
32 ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo,
33 { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
34 1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f });
35
36 std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
37 std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
38
39 armnn::ConvertFp16ToFp32QueueDescriptor data;
40 armnn::WorkloadInfo info;
41 AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
42 AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
43
44 std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConvertFp16ToFp32(data, info);
45
46 inputHandle->Allocate();
47 outputHandle->Allocate();
48
49 CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]);
50
51 workload->Execute();
52
53 CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get());
54
55 return ret;
56 }
57