4 files changed, 15 insertions, 14 deletions
diff --git a/tests/validation/CL/ConvolutionLayer.cpp b/tests/validation/CL/ConvolutionLayer.cpp
index b2fd22eaee..a6e07248aa 100644
--- a/tests/validation/CL/ConvolutionLayer.cpp
+++ b/tests/validation/CL/ConvolutionLayer.cpp
@@ -43,10 +43,10 @@ namespace validation
 {
 namespace
 {
-RelativeTolerance<float>           tolerance_f32(0.001f);    /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
-RelativeTolerance<half>            tolerance_f16(half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
-constexpr AbsoluteTolerance<float> tolerance_q(1.0f);        /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */
-constexpr float                    tolerance_num = 0.07f;    /**< Tolerance number */
+RelativeTolerance<float>            tolerance_f32(0.05f);                 /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
+RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
+constexpr AbsoluteTolerance<float>  tolerance_q(1.0f);                    /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */
+constexpr float                     tolerance_num = 0.07f;                /**< Tolerance number */
 
 /** CNN data types */
 const auto CNNDataTypes = framework::dataset::make("DataType",
diff --git a/tests/validation/CL/FullyConnectedLayer.cpp b/tests/validation/CL/FullyConnectedLayer.cpp
index 22f27e56dd..35b9d2938b 100644
--- a/tests/validation/CL/FullyConnectedLayer.cpp
+++ b/tests/validation/CL/FullyConnectedLayer.cpp
@@ -43,9 +43,9 @@ namespace validation
 namespace
 {
 /** Tolerance for float operations */
-RelativeTolerance<float> tolerance_f32(0.001f);
-RelativeTolerance<half>  tolerance_f16(half(0.2));
-constexpr float          tolerance_num = 0.07f; /**< Tolerance number */
+RelativeTolerance<float>            tolerance_f32(0.05f);
+RelativeTolerance<half_float::half> tolerance_f16(half(0.2));
+constexpr float                     tolerance_num = 0.07f; /**< Tolerance number */
 
 /** Tolerance for fixed point operations */
 constexpr AbsoluteTolerance<float> tolerance_fixed_point(1.f);
diff --git a/tests/validation/CL/GEMM.cpp b/tests/validation/CL/GEMM.cpp
index 854551917e..62671e34d7 100644
--- a/tests/validation/CL/GEMM.cpp
+++ b/tests/validation/CL/GEMM.cpp
@@ -43,9 +43,10 @@ namespace validation
 {
 namespace
 {
-RelativeTolerance<float>           tolerance_f32(0.001f);    /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */
-RelativeTolerance<half>            tolerance_f16(half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */
-constexpr AbsoluteTolerance<float> tolerance_q(1.0f);        /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */
+RelativeTolerance<float>            tolerance_f32(0.001f);    /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */
+RelativeTolerance<half_float::half> tolerance_f16(half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */
+constexpr AbsoluteTolerance<float>  tolerance_q(1.0f);        /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */
+constexpr float                     tolerance_num = 0.02f;    /**< Tolerance number */
 
 /** CNN data types */
 const auto CNNDataTypes = framework::dataset::make("DataType",
@@ -92,13 +93,13 @@ TEST_SUITE(FP16)
 FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGEMMDataset(), framework::dataset::make("DataType", DataType::F16)))
 {
     // Validate output
-    validate(CLAccessor(_target), _reference, tolerance_f16);
+    validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
 }
 FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGEMMDataset(), framework::dataset::make("DataType",
                                                                                                DataType::F16)))
 {
     // Validate output
-    validate(CLAccessor(_target), _reference, tolerance_f16);
+    validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
 }
 TEST_SUITE_END()
 
diff --git a/tests/validation/CL/Scale.cpp b/tests/validation/CL/Scale.cpp
index 6757bd5ee3..1a458b7a08 100644
--- a/tests/validation/CL/Scale.cpp
+++ b/tests/validation/CL/Scale.cpp
@@ -57,14 +57,14 @@ const auto ScaleDataTypes = framework::dataset::make("DataType",
 /** Tolerance */
 constexpr AbsoluteTolerance<uint8_t> tolerance_u8(1);
 constexpr AbsoluteTolerance<int16_t> tolerance_s16(1);
-RelativeTolerance<float>             tolerance_f32(0.01);
+RelativeTolerance<float>             tolerance_f32(0.05);
 RelativeTolerance<half>              tolerance_f16(half(0.1));
 } // namespace
 
 TEST_SUITE(CL)
 TEST_SUITE(Scale)
 
-DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), ScaleDataTypes),
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::MediumShapes(), datasets::LargeShapes()), ScaleDataTypes),
                                                                            framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
                                                                    datasets::BorderModes()),
                shape, data_type, policy, border_mode)