Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "FakeQuantizationTestImpl.hpp" |
| 7 | |
| 8 | #include <armnn/ArmNN.hpp> |
| 9 | |
| 10 | #include <backendsCommon/CpuTensorHandle.hpp> |
| 11 | |
| 12 | #include <backendsCommon/test/TensorCopyUtils.hpp> |
| 13 | #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| 14 | |
| 15 | #include <test/TensorHelpers.hpp> |
| 16 | |
| 17 | LayerTestResult<float, 2> FakeQuantizationTest( |
| 18 | armnn::IWorkloadFactory& workloadFactory, |
| 19 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 20 | { |
| 21 | constexpr unsigned int width = 2; |
| 22 | constexpr unsigned int height = 3; |
| 23 | |
| 24 | const armnn::TensorInfo tensorInfo({height, width }, |
| 25 | armnn::DataType::Float32); |
| 26 | |
| 27 | auto input = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 28 | -10.0f, -5.0f, |
| 29 | 0.0f, 5.0f, |
| 30 | 10.0f, 10.0f |
| 31 | })); |
| 32 | |
| 33 | LayerTestResult<float, 2> ret(tensorInfo); |
| 34 | |
| 35 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 36 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 37 | |
| 38 | armnn::FakeQuantizationQueueDescriptor data; |
| 39 | armnn::WorkloadInfo info; |
| 40 | |
| 41 | AddInputToWorkload(data, info, tensorInfo, inputHandle.get()); |
| 42 | AddOutputToWorkload(data, info, tensorInfo, outputHandle.get()); |
| 43 | |
| 44 | float min = -10.f; |
| 45 | float max = 10.f; |
| 46 | |
| 47 | data.m_Parameters.m_Min = min; |
| 48 | data.m_Parameters.m_Max = max; |
| 49 | |
| 50 | armnn::PassthroughCpuTensorHandle refHandle(tensorInfo, &ret.outputExpected[0][0]); |
| 51 | armnn::FakeQuantizationQueueDescriptor refData = data; |
| 52 | armnn::WorkloadInfo refInfo = info; |
| 53 | SetWorkloadOutput(refData, refInfo, 0, tensorInfo, &refHandle); |
| 54 | |
| 55 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFakeQuantization(data, info); |
| 56 | |
| 57 | inputHandle->Allocate(); |
| 58 | outputHandle->Allocate(); |
| 59 | |
| 60 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0]); |
| 61 | |
| 62 | workload->PostAllocationConfigure(); |
| 63 | workload->Execute(); |
| 64 | |
| 65 | CopyDataFromITensorHandle(&ret.output[0][0], outputHandle.get()); |
| 66 | |
| 67 | ret.outputExpected = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 68 | 0.0f, 63.0f, |
| 69 | 128.0f, 191.0f, |
| 70 | 255.0f, 255.0f |
| 71 | })); |
| 72 | |
| 73 | return ret; |
| 74 | } |