Laurent Carlier | 749294b | 2020-06-01 09:03:17 +0100 | [diff] [blame] | 1 | // |
Mike Kelly | 7cbe781 | 2023-07-25 17:37:33 +0100 | [diff] [blame] | 2 | // Copyright © 2017-2018,2020-2023 Arm Ltd and Contributors. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4 | // |
| 5 | |
| 6 | #include "RefFakeQuantizationFloat32Workload.hpp" |
| 7 | |
| 8 | #include "RefWorkloadUtils.hpp" |
| 9 | |
| 10 | #include "Profiling.hpp" |
| 11 | |
Matthew Sloyan | 24ac859 | 2020-09-23 16:57:23 +0100 | [diff] [blame] | 12 | #include <armnn/utility/NumericCast.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 13 | |
| 14 | namespace armnn |
| 15 | { |
| 16 | |
| 17 | void FakeQuantization(const float* inputData, float* outputData, uint32_t numElements, float min, float max) |
| 18 | { |
| 19 | float scale = (max - min) / 255.f; |
Matthew Sloyan | 24ac859 | 2020-09-23 16:57:23 +0100 | [diff] [blame] | 20 | int32_t offset = armnn::numeric_cast<int32_t>((-min * 255.f) / (max - min)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 21 | |
| 22 | for (uint32_t i = 0; i < numElements; i++) |
| 23 | { |
| 24 | outputData[i] = static_cast<float>(armnn::Quantize<uint8_t>(inputData[i], scale, offset)); |
| 25 | } |
| 26 | |
| 27 | } |
| 28 | |
| 29 | void RefFakeQuantizationFloat32Workload::Execute() const |
| 30 | { |
Finn Williams | b8181f7 | 2021-04-07 10:23:21 +0100 | [diff] [blame] | 31 | Execute(m_Data.m_Inputs, m_Data.m_Outputs); |
| 32 | } |
| 33 | |
Matthew Sloyan | 2d213a7 | 2022-06-30 17:13:04 +0100 | [diff] [blame] | 34 | void RefFakeQuantizationFloat32Workload::ExecuteAsync(ExecutionData& executionData) |
Finn Williams | b8181f7 | 2021-04-07 10:23:21 +0100 | [diff] [blame] | 35 | { |
Matthew Sloyan | 2d213a7 | 2022-06-30 17:13:04 +0100 | [diff] [blame] | 36 | WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data); |
| 37 | Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs); |
Finn Williams | b8181f7 | 2021-04-07 10:23:21 +0100 | [diff] [blame] | 38 | } |
| 39 | |
| 40 | void RefFakeQuantizationFloat32Workload::Execute(std::vector<ITensorHandle*> inputs, |
| 41 | std::vector<ITensorHandle*> outputs) const |
| 42 | { |
Mike Kelly | 7cbe781 | 2023-07-25 17:37:33 +0100 | [diff] [blame] | 43 | ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefFakeQuantizationFloat32Workload_Execute"); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 44 | |
Finn Williams | b8181f7 | 2021-04-07 10:23:21 +0100 | [diff] [blame] | 45 | const TensorInfo& inputInfo = GetTensorInfo(inputs[0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 46 | |
Finn Williams | b8181f7 | 2021-04-07 10:23:21 +0100 | [diff] [blame] | 47 | const float* inputData = reinterpret_cast<const float*>(inputs[0]->Map()); |
| 48 | float* outputData = reinterpret_cast<float*>(outputs[0]->Map()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 49 | FakeQuantization(inputData, outputData, inputInfo.GetNumElements(), |
| 50 | m_Data.m_Parameters.m_Min, |
| 51 | m_Data.m_Parameters.m_Max); |
| 52 | } |
| 53 | |
| 54 | } //namespace armnn |