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| author | Ellen Norris-Thompson <ellen.norris-thompson@arm.com> | 2019-06-12 10:23:57 +0100 |
|---|---|---|
| committer | Ellen Norris-Thompson <ellen.norris-thompson@arm.com> | 2019-06-17 09:57:42 +0100 |
| commit | 719d2a94dff9966d70691cff4c97a635e6fe5f5e (patch) | |
| tree | d9a3420070ef4262d94b036de0d44c578c1f431f /src/backends/reference/workloads/RefResizeBilinearUint8Workload.cpp | |
| parent | c81855f6ca52eb025a303b95eee7a12a5e2f9557 (diff) | |
| download | armnn-719d2a94dff9966d70691cff4c97a635e6fe5f5e.tar.gz | |
IVGCVSW-3218 Refactor the Reference Workloads for the ResizeBilinear layer
* Refactored ResizeBilinear Reference Workloads to combine Float32 and Uint8 files
Signed-off-by: Ellen Norris-Thompson <ellen.norris-thompson@arm.com>
Change-Id: I725a830f4c4755a7d3a37ca68e31e44e7eb267cb
Diffstat (limited to 'src/backends/reference/workloads/RefResizeBilinearUint8Workload.cpp')
| -rw-r--r-- | src/backends/reference/workloads/RefResizeBilinearUint8Workload.cpp | 33 |
1 files changed, 0 insertions, 33 deletions
diff --git a/src/backends/reference/workloads/RefResizeBilinearUint8Workload.cpp b/src/backends/reference/workloads/RefResizeBilinearUint8Workload.cpp deleted file mode 100644 index 3a6793cd90..0000000000 --- a/src/backends/reference/workloads/RefResizeBilinearUint8Workload.cpp +++ /dev/null @@ -1,33 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "RefResizeBilinearUint8Workload.hpp" - -#include "RefWorkloadUtils.hpp" -#include "ResizeBilinear.hpp" - -#include "Profiling.hpp" - -#include <vector> - -namespace armnn -{ - -void RefResizeBilinearUint8Workload::Execute() const -{ - ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefResizeBilinearUint8Workload_Execute"); - - const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]); - const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]); - - auto dequant = Dequantize(GetInputTensorDataU8(0, m_Data), inputInfo); - - std::vector<float> results(outputInfo.GetNumElements()); - ResizeBilinear(dequant.data(), inputInfo, results.data(), outputInfo, m_Data.m_Parameters.m_DataLayout); - - Quantize(GetOutputTensorDataU8(0, m_Data), results.data(), outputInfo); -} - -} //namespace armnn |