COMPMID-2754: Add support for QASYMM8_SIGNED in NE kernels/functions.

Kernels/Functions extended support:
- NEBatchToSpaceLayerKernel/NEBatchToSpaceLayer
- NEChannelShuffleLayerKernel/NEChannelShuffleLayer
- NECol2ImKernel/NECol2Im
- NEConvertFullyConnectedWeightsKernel/NEConvertFullyConnectedWeights
- NECopyKernel/NECopy
- NEConvolutionLayerReshapeWeights
- NEDepthToSpaceLayerKernel/NEDepthToSpaceLayer
- NEFlattenLayerKernel/NEFlattenLayer
- NEFillBorderKernel
- NEFullyConnectedLayerReshapeWeights
- NEGatherKernel/NEGather
- NEGEMMInterleave4x4Kernel
- NEGEMMTranspose1xWKernel
- NEIm2ColKernel/NEIm2Col
- NEMemsetKernel
- NEPadLayerKernel/NEPadLayer
- NEPermuteKernel/NEPermute
- NEReverseKernel/NEReverse
- NEReorgLayerKernel/NEReorgLayer
- NEReshapeLayerKernel/NEReshapeLayer
- NESplit
- NESlice
- NEStridedSliceKernel/NEStridedSlice
- NESpaceToBatchLayerKernel/NESpaceToBatchLayer
- NESpaceToDepthLayerKernel/NESpaceToDepthLayerKernel
- NEStackLayerKernel/NEStackLayer
- NETileKernel/NETile
- NETransposeKernel/NETranspose
- NEWidthConcatenateLayerKernel/NEHeightConcatenateLayer
- NEHeightConcatenateLayerKernel/NEHeightConcatenateLayer
- NEDepthConcatenateLayerKernel/NEDepthConcatenateLayer
- NEBathConcatenateLayerKernel/NEBatchConcatenateLayer

Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: Ia070332ad4c4dbced2541dc46f7f2f3a86833b65
Reviewed-on: https://review.mlplatform.org/c/2442
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 18 insertions, 5 deletions

diff --git a/tests/validation/reference/ConcatenateLayer.cpp b/tests/validation/reference/ConcatenateLayer.cpp
index aa74ca2474..266dae1c27 100644
--- a/tests/validation/reference/ConcatenateLayer.cpp
+++ b/tests/validation/reference/ConcatenateLayer.cpp
@@ -70,16 +70,27 @@ SimpleTensor<T> widthconcatenate_layer(const std::vector<SimpleTensor<T>> &srcs,
                 for(int r = 0; r < height; ++r)
                 {
                     const int offset = u * height * depth + d * height + r;
-                    if(src.data_type() == DataType::QASYMM8 && src.quantization_info() != dst.quantization_info())
+                    if(is_data_type_quantized(src.data_type()) && src.quantization_info() != dst.quantization_info())
                     {
                         const UniformQuantizationInfo iq_info = src.quantization_info().uniform();
                         const UniformQuantizationInfo oq_info = dst.quantization_info().uniform();
 
-                        std::transform(src_ptr, src_ptr + width, dst_ptr + width_offset + offset * width_out, [&](T t)
+                        if(src.data_type() == DataType::QASYMM8)
                         {
-                            const float dequantized_input = dequantize_qasymm8(t, iq_info);
-                            return quantize_qasymm8(dequantized_input, oq_info);
-                        });
+                            std::transform(src_ptr, src_ptr + width, dst_ptr + width_offset + offset * width_out, [&](T t)
+                            {
+                                const float dequantized_input = dequantize_qasymm8(t, iq_info);
+                                return quantize_qasymm8(dequantized_input, oq_info);
+                            });
+                        }
+                        else
+                        {
+                            std::transform(src_ptr, src_ptr + width, dst_ptr + width_offset + offset * width_out, [&](T t)
+                            {
+                                const float dequantized_input = dequantize_qasymm8_signed(t, iq_info);
+                                return quantize_qasymm8_signed(dequantized_input, oq_info);
+                            });
+                        }
                         src_ptr += width;
                     }
                     else
@@ -98,6 +109,7 @@ SimpleTensor<T> widthconcatenate_layer(const std::vector<SimpleTensor<T>> &srcs,
 template SimpleTensor<float> widthconcatenate_layer(const std::vector<SimpleTensor<float>> &srcs, SimpleTensor<float> &dst);
 template SimpleTensor<half> widthconcatenate_layer(const std::vector<SimpleTensor<half>> &srcs, SimpleTensor<half> &dst);
 template SimpleTensor<uint8_t> widthconcatenate_layer(const std::vector<SimpleTensor<uint8_t>> &srcs, SimpleTensor<uint8_t> &dst);
+template SimpleTensor<int8_t> widthconcatenate_layer(const std::vector<SimpleTensor<int8_t>> &srcs, SimpleTensor<int8_t> &dst);
 } // namespace
 
 template <typename T>
@@ -148,6 +160,7 @@ SimpleTensor<T> concatenate_layer(std::vector<SimpleTensor<T>> &srcs, SimpleTens
 template SimpleTensor<float> concatenate_layer(std::vector<SimpleTensor<float>> &srcs, SimpleTensor<float> &dst, unsigned int axis);
 template SimpleTensor<half> concatenate_layer(std::vector<SimpleTensor<half>> &srcs, SimpleTensor<half> &dst, unsigned int axis);
 template SimpleTensor<uint8_t> concatenate_layer(std::vector<SimpleTensor<uint8_t>> &srcs, SimpleTensor<uint8_t> &dst, unsigned int axis);
+template SimpleTensor<int8_t> concatenate_layer(std::vector<SimpleTensor<int8_t>> &srcs, SimpleTensor<int8_t> &dst, unsigned int axis);
 } // namespace reference
 } // namespace validation
 } // namespace test