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Diffstat (limited to 'tests/validation/NEON/ConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/ConvolutionLayer.cpp | 7 |
1 files changed, 7 insertions, 0 deletions
diff --git a/tests/validation/NEON/ConvolutionLayer.cpp b/tests/validation/NEON/ConvolutionLayer.cpp index c2ed336ad5..06fe9f7803 100644 --- a/tests/validation/NEON/ConvolutionLayer.cpp +++ b/tests/validation/NEON/ConvolutionLayer.cpp @@ -81,7 +81,14 @@ const RelativeTolerance<half_float::half> rel_tolerance_f16(half_float::half(0.2 const AbsoluteTolerance<float> abs_tolerance_f16(0.2f); /**< Absolute tolerance for FP16 types */ constexpr float tolerance_num = 0.07f; /**< Tolerance number for the FP16 implementation */ #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ + +#ifdef ARM_COMPUTE_ENABLE_SME +// TODO(COMPMID-6011): SME kernels and the reference model use different rounding mode. +// Temporarily increase the tolerance for quantized data. +constexpr AbsoluteTolerance<float> tolerance_qasymm8(1.0); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */ +#else // ARM_COMPUTE_ENABLE_SME constexpr AbsoluteTolerance<float> tolerance_qasymm8(0.0); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */ +#endif // ARM_COMPUTE_ENABLE_SME /** CNN data types */ const auto CNNDataTypes = framework::dataset::make("DataType", |