diff options
Diffstat (limited to 'tests/validation/NEON/ReduceMean.cpp')
-rw-r--r-- | tests/validation/NEON/ReduceMean.cpp | 30 |
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>; |