COMPMID-425 Port CLBatchnormalization to support QS8/QS16

Change-Id: I46c93305f377666ea0915ff789b7dfdfff596087
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/78862
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>

1 files changed, 8 insertions, 1 deletions

diff --git a/tests/validation/NEON/BatchNormalizationLayer.cpp b/tests/validation/NEON/BatchNormalizationLayer.cpp
index 38e3751db4..d825c889b6 100644
--- a/tests/validation/NEON/BatchNormalizationLayer.cpp
+++ b/tests/validation/NEON/BatchNormalizationLayer.cpp
@@ -100,7 +100,14 @@ Tensor compute_reference_batch_normalization_layer(const TensorShape &shape0, co
     {
         int min_bound = 0;
         int max_bound = 0;
-        std::tie(min_bound, max_bound) = get_batchnormalization_layer_test_bounds<int8_t>(fixed_point_position);
+        if(dt == DataType::QS8)
+        {
+            std::tie(min_bound, max_bound) = get_batchnormalization_layer_test_bounds<int8_t>(fixed_point_position);
+        }
+        else
+        {
+            std::tie(min_bound, max_bound) = get_batchnormalization_layer_test_bounds<int16_t>(fixed_point_position);
+        }
         std::uniform_int_distribution<> distribution(min_bound, max_bound);
         std::uniform_int_distribution<> distribution_var(0, max_bound);
         library->fill(NEAccessor(src), distribution, 0);