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-rw-r--r--tests/validation/NEON/ReduceMean.cpp30
1 files changed, 4 insertions, 26 deletions
diff --git a/tests/validation/NEON/ReduceMean.cpp b/tests/validation/NEON/ReduceMean.cpp
index 1802b8a941..02cfcee262 100644
--- a/tests/validation/NEON/ReduceMean.cpp
+++ b/tests/validation/NEON/ReduceMean.cpp
@@ -48,10 +48,10 @@ constexpr AbsoluteTolerance<float> tolerance_f16(0.03f); /**< Tolerance value fo
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
constexpr AbsoluteTolerance<uint8_t> tolerance_u8(1); /**< Tolerance value for comparing reference's output against implementation's output for unsigned 8-bit asymmetric quantized type */
#ifdef __aarch64__
-constexpr AbsoluteTolerance<int8_t> tolerance_s8(1); /**< Tolerance value for comparing reference's output against implementation's output for signed 8-bit asymmetric quantized type */
-#else // __aarch64__
-constexpr AbsoluteTolerance<int8_t> tolerance_s8(2); /**< Tolerance value for comparing reference's output against implementation's output for signed 8-bit asymmetric quantized type */
-#endif // __aarch64__
+constexpr AbsoluteTolerance<int8_t> tolerance_s8(1); /**< Tolerance value for comparing reference's output against implementation's output for signed 8-bit asymmetric quantized type */
+#else // __aarch64__
+constexpr AbsoluteTolerance<int8_t> tolerance_s8(2); /**< Tolerance value for comparing reference's output against implementation's output for signed 8-bit asymmetric quantized type */
+#endif // __aarch64__
const auto axis_keep = combine(framework::dataset::make("Axis", { Coordinates(0), Coordinates(1, 0), Coordinates(1, 2), Coordinates(0, 2), Coordinates(1, 3), Coordinates(0, 1, 2, 3) }),
framework::dataset::make("KeepDims", { true }));
@@ -87,28 +87,6 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
// clang-format on
// *INDENT-ON*
-DATA_TEST_CASE(Configuration,
- framework::DatasetMode::ALL,
- combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::F32 })),
- shape, data_type)
-{
- // Create tensors
- Tensor ref_src = create_tensor<Tensor>(shape, data_type);
- Tensor dst;
-
- Coordinates axis(1);
-
- // Create and Configure function
- NEReduceMean reduce_mean;
- reduce_mean.configure(&ref_src, axis, true, &dst);
-
- // Validate valid region
- TensorShape output_shape = shape;
- output_shape.set(1, 1);
- const ValidRegion valid_region = shape_to_valid_region(output_shape);
- validate(dst.info()->valid_region(), valid_region);
-}
-
template <typename T>
using NEReduceMeanFixture = ReduceMeanFixture<Tensor, Accessor, NEReduceMean, T>;