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| author | Francis Murtagh <francis.murtagh@arm.com> | 2019-06-20 12:07:19 +0100 |
|---|---|---|
| committer | Francis Murtagh <francis.murtagh@arm.com> | 2019-06-20 12:07:30 +0100 |
| commit | 47ea3c0e8d8d10906d04a0e7c537ffee68b0f819 (patch) | |
| tree | ab160c7126820dd2b5766974256167fdc66d183a /src/backends/reference/workloads/RefBatchToSpaceNdUint8Workload.cpp | |
| parent | 51982472bfedf12e7d82cde6614617f94b2c86d0 (diff) | |
| download | armnn-47ea3c0e8d8d10906d04a0e7c537ffee68b0f819.tar.gz | |
IVGCVSW-3248 Refactor reference BatchToSpace workload
* Add Decoders and Encoders to workload to make it data type agnostic
* Merge float32 and Uint8 into single workload
Change-Id: I8adfa1898a63f13889eaaf55a31c26fd1e2d7ee8
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Diffstat (limited to 'src/backends/reference/workloads/RefBatchToSpaceNdUint8Workload.cpp')
| -rw-r--r-- | src/backends/reference/workloads/RefBatchToSpaceNdUint8Workload.cpp | 29 |
1 files changed, 0 insertions, 29 deletions
diff --git a/src/backends/reference/workloads/RefBatchToSpaceNdUint8Workload.cpp b/src/backends/reference/workloads/RefBatchToSpaceNdUint8Workload.cpp deleted file mode 100644 index e4e108edb1..0000000000 --- a/src/backends/reference/workloads/RefBatchToSpaceNdUint8Workload.cpp +++ /dev/null @@ -1,29 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "BatchToSpaceNd.hpp" -#include "Profiling.hpp" -#include "RefBatchToSpaceNdUint8Workload.hpp" -#include "RefWorkloadUtils.hpp" - -namespace armnn -{ - -void RefBatchToSpaceNdUint8Workload::Execute() const -{ - ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchToSpaceNdUint8Workload_Execute"); - - const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]); - const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]); - auto dequantizedInputData = Dequantize(GetInputTensorDataU8(0, m_Data), inputInfo); - - std::vector<float> results(outputInfo.GetNumElements()); - BatchToSpaceNd(m_Data.m_Parameters.m_DataLayout, inputInfo, outputInfo, m_Data.m_Parameters.m_BlockShape, - m_Data.m_Parameters.m_Crops, dequantizedInputData.data(), results.data()); - - Quantize(GetOutputTensorDataU8(0, m_Data), results.data(), outputInfo); -} - -} //namespace armnn
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