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author | David Beck <david.beck@arm.com> | 2018-09-06 16:46:34 +0100 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-09-25 14:54:29 +0100 |
commit | f195f03e095a5c4dc6880be11af64cab83b5c94b (patch) | |
tree | d1c6d7d46ed70b915772bd50c5074d13443d9bca /src/armnn/backends/RefWorkloads | |
parent | c2044fe9d26a8b6afca48aee04bd5d29f8e27b8d (diff) | |
download | armnn-f195f03e095a5c4dc6880be11af64cab83b5c94b.tar.gz |
IVGCVSW-1803 : add Ref Subtraction layer
Change-Id: I4c019d626f9369245eca6d549bbe7a28e141f198
Diffstat (limited to 'src/armnn/backends/RefWorkloads')
6 files changed, 178 insertions, 0 deletions
diff --git a/src/armnn/backends/RefWorkloads/RefSubtractionFloat32Workload.cpp b/src/armnn/backends/RefWorkloads/RefSubtractionFloat32Workload.cpp new file mode 100644 index 0000000000..4440eedab7 --- /dev/null +++ b/src/armnn/backends/RefWorkloads/RefSubtractionFloat32Workload.cpp @@ -0,0 +1,31 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "RefSubtractionFloat32Workload.hpp" + +#include "Subtraction.hpp" +#include "RefWorkloadUtils.hpp" + +#include "Profiling.hpp" + +namespace armnn +{ + +void RefSubtractionFloat32Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefSubtractionFloat32Workload_Execute"); + + const TensorShape& inShape0 = GetTensorInfo(m_Data.m_Inputs[0]).GetShape(); + const TensorShape& inShape1 = GetTensorInfo(m_Data.m_Inputs[1]).GetShape(); + const TensorShape& outShape = GetTensorInfo(m_Data.m_Outputs[0]).GetShape(); + + const float* inData0 = GetInputTensorDataFloat(0, m_Data); + const float* inData1 = GetInputTensorDataFloat(1, m_Data); + float* outData = GetOutputTensorDataFloat(0, m_Data); + + Subtraction(inShape0, inShape1, outShape, inData0, inData1, outData); +} + +} //namespace armnn diff --git a/src/armnn/backends/RefWorkloads/RefSubtractionFloat32Workload.hpp b/src/armnn/backends/RefWorkloads/RefSubtractionFloat32Workload.hpp new file mode 100644 index 0000000000..b3f5ed9474 --- /dev/null +++ b/src/armnn/backends/RefWorkloads/RefSubtractionFloat32Workload.hpp @@ -0,0 +1,21 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include "backends/Workload.hpp" +#include "backends/WorkloadData.hpp" + +namespace armnn +{ + +class RefSubtractionFloat32Workload : public Float32Workload<SubtractionQueueDescriptor> +{ +public: + using Float32Workload<SubtractionQueueDescriptor>::Float32Workload; + virtual void Execute() const override; +}; + +} //namespace armnn diff --git a/src/armnn/backends/RefWorkloads/RefSubtractionUint8Workload.cpp b/src/armnn/backends/RefWorkloads/RefSubtractionUint8Workload.cpp new file mode 100644 index 0000000000..8066762e48 --- /dev/null +++ b/src/armnn/backends/RefWorkloads/RefSubtractionUint8Workload.cpp @@ -0,0 +1,41 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "RefSubtractionUint8Workload.hpp" + +#include "Subtraction.hpp" +#include "RefWorkloadUtils.hpp" + +#include "Profiling.hpp" + +#include <vector> + +namespace armnn +{ + +void RefSubtractionUint8Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefSubtractionUint8Workload_Execute"); + + const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]); + const TensorInfo& inputInfo1 = GetTensorInfo(m_Data.m_Inputs[1]); + const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]); + + auto dequant0 = Dequantize(GetInputTensorDataU8(0, m_Data), inputInfo0); + auto dequant1 = Dequantize(GetInputTensorDataU8(1, m_Data), inputInfo1); + + std::vector<float> results(outputInfo.GetNumElements()); + + Subtraction(inputInfo0.GetShape(), + inputInfo1.GetShape(), + outputInfo.GetShape(), + dequant0.data(), + dequant1.data(), + results.data()); + + Quantize(GetOutputTensorDataU8(0, m_Data), results.data(), outputInfo); +} + +} //namespace armnn diff --git a/src/armnn/backends/RefWorkloads/RefSubtractionUint8Workload.hpp b/src/armnn/backends/RefWorkloads/RefSubtractionUint8Workload.hpp new file mode 100644 index 0000000000..582533253b --- /dev/null +++ b/src/armnn/backends/RefWorkloads/RefSubtractionUint8Workload.hpp @@ -0,0 +1,21 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include "backends/Workload.hpp" +#include "backends/WorkloadData.hpp" + +namespace armnn +{ + +class RefSubtractionUint8Workload : public Uint8Workload<SubtractionQueueDescriptor> +{ +public: + using Uint8Workload<SubtractionQueueDescriptor>::Uint8Workload; + virtual void Execute() const override; +}; + +} //namespace armnn diff --git a/src/armnn/backends/RefWorkloads/Subtraction.cpp b/src/armnn/backends/RefWorkloads/Subtraction.cpp new file mode 100644 index 0000000000..f25c8adb1c --- /dev/null +++ b/src/armnn/backends/RefWorkloads/Subtraction.cpp @@ -0,0 +1,44 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "Subtraction.hpp" +#include "Broadcast.hpp" + +#include <functional> + +namespace +{ + +void ElementwiseSubtraction(unsigned int numElements, const float* inData0, const float* inData1, float* outData) +{ + for (unsigned int i = 0; i < numElements; ++i) + { + outData[i] = inData0[i] - inData1[i]; + } +} + +} // namespace + +namespace armnn +{ + +void Subtraction(const TensorShape& inShape0, + const TensorShape& inShape1, + const TensorShape& outShape, + const float* inData0, + const float* inData1, + float* outData) +{ + if (inShape0 == inShape1) + { + ElementwiseSubtraction(inShape0.GetNumElements(), inData0, inData1, outData); + } + else + { + BroadcastLoop(inShape0, inShape1, outShape).Unroll(std::minus<float>(), 0, inData0, inData1, outData); + } +} + +} //namespace armnn diff --git a/src/armnn/backends/RefWorkloads/Subtraction.hpp b/src/armnn/backends/RefWorkloads/Subtraction.hpp new file mode 100644 index 0000000000..3956797185 --- /dev/null +++ b/src/armnn/backends/RefWorkloads/Subtraction.hpp @@ -0,0 +1,20 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include <armnn/Tensor.hpp> + +namespace armnn +{ + +void Subtraction(const TensorShape& inShape0, + const TensorShape& inShape1, + const TensorShape& outShape, + const float* inData0, + const float* inData1, + float* outData); + +} //namespace armnn |