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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
Aron Virginas-Tar5caf9072018-11-14 18:35:18 +00008#include "WorkloadTestUtils.hpp"
9
telsoa01c577f2c2018-08-31 09:22:23 +010010#include <armnn/ArmNN.hpp>
11#include <armnn/Tensor.hpp>
12#include <armnn/TypesUtils.hpp>
13
Aron Virginas-Tarc9cc8042018-11-01 16:15:57 +000014#include <Half.hpp>
15
16#include <backendsCommon/CpuTensorHandle.hpp>
Aron Virginas-Tar5caf9072018-11-14 18:35:18 +000017#include <backendsCommon/IBackendInternal.hpp>
telsoa01c577f2c2018-08-31 09:22:23 +010018
19#include <test/TensorHelpers.hpp>
20
Aron Virginas-Tar5caf9072018-11-14 18:35:18 +000021LayerTestResult<float, 4> SimpleConvertFp16ToFp32Test(
22 armnn::IWorkloadFactory& workloadFactory,
23 const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
telsoa01c577f2c2018-08-31 09:22:23 +010024{
25 using namespace half_float::literal;
26
27 const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float16);
28 const armnn::TensorInfo outputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float32);
29
30 auto input = MakeTensor<armnn::Half, 4>(inputTensorInfo,
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 LayerTestResult<float, 4> ret(outputTensorInfo);
35 ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo,
36 { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
37 1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f });
38
39 std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
40 std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
41
42 armnn::ConvertFp16ToFp32QueueDescriptor data;
43 armnn::WorkloadInfo info;
44 AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
45 AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
46
47 std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConvertFp16ToFp32(data, info);
48
49 inputHandle->Allocate();
50 outputHandle->Allocate();
51
52 CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]);
53
54 workload->Execute();
55
56 CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get());
57
58 return ret;
59}