Fix MeanStdDevNormalizationLayer reference outputting nan for FP16

- Bring the epsilon up to 1e-3 for FP16 (both backends) since it was causing the reference's variance being negative and its square root being NaN
- Bring the epsilon up to 1e-7 for FP16 NEON test for the same problem on the NEON kernel
- Adjust the CL kernel's vec_size when input tensor's width < 16 and use macros agnostic of vector size for sum reduction
- Add previously mismatching tensor shapes

Resolve COMPMID-4354

Change-Id: I823c871aacb72326f90c86b24cb16c3e2d4bd15e
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5630
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

1 files changed, 2 insertions, 2 deletions

diff --git a/tests/validation/CL/MeanStdDevNormalizationLayer.cpp b/tests/validation/CL/MeanStdDevNormalizationLayer.cpp
index e77a21ed7f..cdeb622130 100644
--- a/tests/validation/CL/MeanStdDevNormalizationLayer.cpp
+++ b/tests/validation/CL/MeanStdDevNormalizationLayer.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -78,7 +78,7 @@ TEST_SUITE(FP16)
 FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(),
                        framework::dataset::make("DataType", DataType::F16)),
                        framework::dataset::make("InPlace", { false, true })),
-                       framework::dataset::make("Epsilon", { 1e-8 })))
+                       framework::dataset::make("Epsilon", { 1e-3 })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, tolerance_f16);