backends/reference: Add ReduceSum operation support

This patch addes ReduceSum operation support for reference backend,
which computes the sum of elements across dimensions of a tensor.

Changelog v1:
- Fix file header descriptions.

Chagelog v2:
- Fix line limit issue.
- Fix type conversion issue.

Changelog v3:
- Remove tabs.
- Modify newly added file headers.

Changelog v4:
- Symbol on header isn't allowed so drop it from newly added file headers.

Changelog v5:
- Remove tabs, fix the use of brackets and align lines correctly.

Changelog v6:
- Add serializer and deserializer support.

Changelog v7:
- Fix build error add missed code.

Changelog v8:
- Rename ReduceSumDecriptor to ReduceDescriptor
    - Update m_KeepDims field data type to bool on ReduceDescriptor
    - Add ReduceOperation field to ReduceDescriptor

- Rename ReduceSumLayer to ReduceLayer
    - Update ReduceLayer to use ReduceDescriptor
    - Update ReduceLayer::ValidateTensorShapesFromInputs() function

- Rename RefReduceSumWokload to RefReduceWorkload
    - Update workload to use ReduceDescriptor
    - Update workload to use Decoders and Encoders

- Remove ReduceSum.hpp and ReduceSum.cpp
- Added Reduce.hpp and Reduce.cpp
     - Move Mean.cpp (which is implementing REDUCE_MEAN) functionality to Reduce.cpp
     - Update RefMeanWorkload to call Reduce function with ReduceOperation::Mean argument

- Remove Mean.hpp and Mean.cpp
- Update the Serializer/Deserializer ArmnnSchema.fbs for ReduceLayer, ReduceDescriptor, and ReduceOperation
- Update Serializer and Deserializer for serializing/parsing ReduceLayer
- Added TfLiter parser Sum test for REDUCE_SUM operator
- Make corresponding changes on front-end and Ref backend to support REDUCE_SUM operator

Changelog v9:
- Fixed build errors.

Change-Id: I8c8e034f3df73f9565b3c18eff51ecca6c542195
Signed-off-by: Inki Dae <inki.dae@samsung.com>
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>

1 files changed, 0 insertions, 143 deletions

diff --git a/src/backends/reference/workloads/Mean.cpp b/src/backends/reference/workloads/Mean.cpp
deleted file mode 100644
index fe34efe0c7..0000000000
--- a/src/backends/reference/workloads/Mean.cpp
+++ /dev/null
@@ -1,143 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "Mean.hpp"
-#include <backendsCommon/WorkloadData.hpp>
-
-#include <armnn/utility/NumericCast.hpp>
-
-#include <cmath>
-#include <cstddef>
-#include <functional>
-#include <limits>
-
-namespace armnn
-{
-bool NextIndex(const unsigned int numDims, const armnn::TensorShape& dims, std::vector<unsigned int>& current)
-{
-    unsigned int carry = 1;
-
-    for (unsigned int idx = numDims; idx-- > 0; )
-    {
-        unsigned int current_val = current[idx] + carry;
-        if (dims[idx] == current_val)
-        {
-            current[idx] = 0;
-        }
-        else
-        {
-            current[idx] = current_val;
-            carry = 0;
-            break;
-        }
-    }
-    return (carry == 0);
-}
-
-unsigned int ReducedOutputOffset(const unsigned int numDims,
-                                 const armnn::TensorShape& dims,
-                                 std::vector<unsigned int>& index,
-                                 const unsigned int numAxis,
-                                 const std::vector<unsigned int>& axis)
-{
-    unsigned int offset = 0;
-    for (unsigned int idx = 0; idx < numDims; ++idx)
-    {
-        bool isAxis = false;
-        if (!axis.empty())
-        {
-            for (unsigned int axisIdx = 0; axisIdx < numAxis; ++axisIdx)
-            {
-                if (idx == axis[axisIdx])
-                {
-                    isAxis = true;
-                    break;
-                }
-            }
-        }
-        if (!isAxis)
-        {
-            offset = offset * dims[idx] + index[idx];
-        }
-    }
-    return offset;
-}
-} // namespace
-
-namespace armnn
-{
-void Mean(const armnn::TensorInfo& inputInfo,
-          const armnn::TensorInfo& outputInfo,
-          const std::vector<unsigned int>& axis,
-          Decoder<float>& input,
-          Encoder<float>& output)
-{
-
-    unsigned int inputNumDims = inputInfo.GetNumDimensions();
-    unsigned int outputNumDims = outputInfo.GetNumDimensions();
-
-    armnn::TensorShape outputDims = outputInfo.GetShape();
-    armnn::TensorShape inputDims = inputInfo.GetShape();
-
-    // Initialise output data.
-    unsigned int numOutputs = 1;
-    for (unsigned int idx = 0; idx < outputNumDims; ++idx)
-    {
-        numOutputs *= outputDims[idx];
-    }
-
-    std::vector<float> tempSum(numOutputs);
-    for (unsigned int idx = 0; idx < numOutputs; ++idx)
-    {
-        output[idx];
-        output.Set(0.0f);
-        tempSum[idx] = 0.0f;
-    }
-
-    // Initialise temp index.
-    std::vector<unsigned int> tempIndex(inputNumDims);
-    for (unsigned int idx = 0; idx < inputNumDims; ++idx)
-    {
-        tempIndex[idx] = 0;
-    }
-
-    std::vector<unsigned int> resolvedAxis = axis;
-    if (resolvedAxis.empty())
-    {
-      for (unsigned int idx = 0; idx < inputNumDims; ++idx)
-      {
-          resolvedAxis.push_back(idx);
-      }
-    }
-    auto numResolvedAxis = armnn::numeric_cast<unsigned int>(resolvedAxis.size());
-
-    // Iterates through input_data and sum up the reduced axis.
-    for (bool hasNext = true; hasNext; hasNext = NextIndex(inputNumDims, inputDims, tempIndex))
-    {
-        unsigned int inputOffset = ReducedOutputOffset(inputNumDims, inputDims, tempIndex, 0, {});
-        unsigned int outputOffset = ReducedOutputOffset(inputNumDims, inputDims, tempIndex,
-                                                        numResolvedAxis, resolvedAxis);
-        input[inputOffset];
-        tempSum[outputOffset] += input.Get();
-    }
-
-    // Takes average by num of elements added to get mean.
-    size_t numElementsInAxis = 1;
-    for (unsigned int idx = 0; idx < numResolvedAxis; ++idx)
-    {
-        unsigned int current = inputDims[resolvedAxis[idx]];
-        ARMNN_ASSERT(armnn::numeric_cast<float>(current) <
-              (std::numeric_limits<float>::max() / armnn::numeric_cast<float>(numElementsInAxis)));
-        numElementsInAxis *= current;
-    }
-    if (numElementsInAxis > 0) {
-        for (unsigned int idx = 0; idx < numOutputs; ++idx)
-        {
-            output[idx];
-            output.Set(tempSum[idx] / armnn::numeric_cast<float>(numElementsInAxis));
-        }
-    }
-}
-} //namespace armnn