COMPMID-970 : Remove QS8 / QS16 support

Removed fixed point related code.

Change-Id: I487acf138dace3b0450e0d72ca7071eaec254566
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/137678
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
diff --git a/tests/validation/NEON/RNNLayer.cpp b/tests/validation/NEON/RNNLayer.cpp
index 7aa3bef..a5f8499 100644
--- a/tests/validation/NEON/RNNLayer.cpp
+++ b/tests/validation/NEON/RNNLayer.cpp
@@ -49,59 +49,59 @@
 // *INDENT-OFF*
 // clang-format off
 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
-               framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U), 1, DataType::U8, 0),      // Wrong data type
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Wrong input size
-                                                       TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0),     // Wrong weights size
-                                                       TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0),     // Wrong recurrent weights size
-                                                       TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0),     // Wrong bias size
-                                                       TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0),     // Wrong output size
-                                                       TensorInfo(TensorShape(27U, 13U), 1, DataType::F32, 0),     // Wrong hidden output size
-                                                       TensorInfo(TensorShape(32U, 32U), 1, DataType::F32, 0),
+               framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U), 1, DataType::U8),      // Wrong data type
+                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Wrong input size
+                                                       TensorInfo(TensorShape(27U, 13U), 1, DataType::F32),     // Wrong weights size
+                                                       TensorInfo(TensorShape(27U, 13U), 1, DataType::F32),     // Wrong recurrent weights size
+                                                       TensorInfo(TensorShape(27U, 13U), 1, DataType::F32),     // Wrong bias size
+                                                       TensorInfo(TensorShape(27U, 13U), 1, DataType::F32),     // Wrong output size
+                                                       TensorInfo(TensorShape(27U, 13U), 1, DataType::F32),     // Wrong hidden output size
+                                                       TensorInfo(TensorShape(32U, 32U), 1, DataType::F32),
                }),
-               framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0),
-                                                       TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0),
-                                                       TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32, 0),
-                                                       TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0),
-                                                       TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0),
-                                                       TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0),
-                                                       TensorInfo(TensorShape(27U, 11U), 1, DataType::F32, 0),
-                                                       TensorInfo(TensorShape(32U, 32U), 1, DataType::F32, 0),
+               framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(32U, 32U), 1, DataType::F32),
                })),
-               framework::dataset::make("RecurrentWeightsInfo", { TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0),
-                                                                  TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0),
-                                                                  TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0),
-                                                                  TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),
-                                                                  TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0),
-                                                                  TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0),
-                                                                  TensorInfo(TensorShape(11U, 11U), 1, DataType::F32, 0),
-                                                                  TensorInfo(TensorShape(32U, 32U), 1, DataType::F32, 0),
+               framework::dataset::make("RecurrentWeightsInfo", { TensorInfo(TensorShape(11U, 11U), 1, DataType::F32),
+                                                                  TensorInfo(TensorShape(11U, 11U), 1, DataType::F32),
+                                                                  TensorInfo(TensorShape(11U, 11U), 1, DataType::F32),
+                                                                  TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
+                                                                  TensorInfo(TensorShape(11U, 11U), 1, DataType::F32),
+                                                                  TensorInfo(TensorShape(11U, 11U), 1, DataType::F32),
+                                                                  TensorInfo(TensorShape(11U, 11U), 1, DataType::F32),
+                                                                  TensorInfo(TensorShape(32U, 32U), 1, DataType::F32),
                })),
-               framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(11U), 1, DataType::F32, 0),
-                                                      TensorInfo(TensorShape(11U), 1, DataType::F32, 0),
-                                                      TensorInfo(TensorShape(11U), 1, DataType::F32, 0),
-                                                      TensorInfo(TensorShape(11U), 1, DataType::F32, 0),
-                                                      TensorInfo(TensorShape(30U), 1, DataType::F32, 0),
-                                                      TensorInfo(TensorShape(11U), 1, DataType::F32, 0),
-                                                      TensorInfo(TensorShape(11U), 1, DataType::F32, 0),
-                                                      TensorInfo(TensorShape(32U), 1, DataType::F32, 0),
+               framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(11U), 1, DataType::F32),
+                                                      TensorInfo(TensorShape(11U), 1, DataType::F32),
+                                                      TensorInfo(TensorShape(11U), 1, DataType::F32),
+                                                      TensorInfo(TensorShape(11U), 1, DataType::F32),
+                                                      TensorInfo(TensorShape(30U), 1, DataType::F32),
+                                                      TensorInfo(TensorShape(11U), 1, DataType::F32),
+                                                      TensorInfo(TensorShape(11U), 1, DataType::F32),
+                                                      TensorInfo(TensorShape(32U), 1, DataType::F32),
                })),
-               framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
-                                                        TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
-                                                        TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
-                                                        TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
-                                                        TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
-                                                        TensorInfo(TensorShape(11U), 1, DataType::F32, 0),
-                                                        TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
-                                                        TensorInfo(TensorShape(32U, 32U), 1, DataType::F32, 0),
+               framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+                                                        TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+                                                        TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+                                                        TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+                                                        TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+                                                        TensorInfo(TensorShape(11U), 1, DataType::F32),
+                                                        TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+                                                        TensorInfo(TensorShape(32U, 32U), 1, DataType::F32),
                })),
-               framework::dataset::make("HiddenStateInfo", { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
-                                                             TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
-                                                             TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
-                                                             TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
-                                                             TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
-                                                             TensorInfo(TensorShape(11U, 13U), 1, DataType::F32, 0),
-                                                             TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32, 0),
-                                                             TensorInfo(TensorShape(32U, 32U), 1, DataType::F32, 0),
+               framework::dataset::make("HiddenStateInfo", { TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+                                                             TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+                                                             TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+                                                             TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+                                                             TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+                                                             TensorInfo(TensorShape(11U, 13U), 1, DataType::F32),
+                                                             TensorInfo(TensorShape(11U, 13U, 2U), 1, DataType::F32),
+                                                             TensorInfo(TensorShape(32U, 32U), 1, DataType::F32),
                })),
                framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
                                                             ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),