| // |
| // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ConvertBf16ToFp32TestImpl.hpp" |
| |
| #include <backendsCommon/test/TensorCopyUtils.hpp> |
| #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| |
| #include <test/TensorHelpers.hpp> |
| |
| LayerTestResult<float, 4> ConvertBf16ToFp32Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| IgnoreUnused(memoryManager); |
| |
| const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, armnn::DataType::BFloat16); |
| const armnn::TensorInfo outputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float32); |
| |
| std::vector<armnn::BFloat16> inputValues = armnnUtils::QuantizedVector<armnn::BFloat16>( |
| { |
| -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f, |
| 1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f |
| }, |
| 1.0f, 0); |
| |
| auto input = MakeTensor<armnn::BFloat16, 4>(inputTensorInfo, std::vector<armnn::BFloat16>(inputValues)); |
| |
| LayerTestResult<float, 4> ret(outputTensorInfo); |
| ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, |
| { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f, |
| 1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f }); |
| |
| std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo); |
| std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
| |
| armnn::ConvertBf16ToFp32QueueDescriptor data; |
| armnn::WorkloadInfo info; |
| AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| |
| std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConvertBf16ToFp32(data, info); |
| |
| inputHandle->Allocate(); |
| outputHandle->Allocate(); |
| |
| CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| |
| workload->Execute(); |
| |
| CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| |
| return ret; |
| } |