COMPMID-970 : Remove QS8 / QS16 support

Remove QS8 and QS16 validation and benchmark tests

Change-Id: I566f1474c1fafcb3903115ec2d3a003d73e4c93b
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/133762
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
diff --git a/tests/validation/NEON/Col2Im.cpp b/tests/validation/NEON/Col2Im.cpp
index 9f2415d..e4a52f2 100644
--- a/tests/validation/NEON/Col2Im.cpp
+++ b/tests/validation/NEON/Col2Im.cpp
@@ -43,19 +43,17 @@
 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
                framework::dataset::make("InputInfo", { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64),    // Unsupported data type
                                                        TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32),    // Mismatching data type
-                                                       TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::QS8, 2), // Mismatching fixed point
                                                        TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32),    // Invalid output shape
                                                        TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32),
                                                      }),
                framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16),
                                                        TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16),
-                                                       TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::QS8, 3),
                                                        TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::F32),
                                                        TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F32),
                                                      })),
                framework::dataset::make("ConvolvedWidth", { 3, 3, 3, 3, 3 })),
                framework::dataset::make("ConvolvedHeight", { 4, 4, 4, 4, 4 })),
-               framework::dataset::make("Expected", { false, false, false, false, true })),
+               framework::dataset::make("Expected", { false, false, false, true })),
                input_info, output_info, convolved_width, convolved_height, expected)
 {
     bool status = bool(NECol2Im::validate(&input_info, &output_info, Size2D(convolved_width, convolved_height)));