diff options
Diffstat (limited to 'tests/validation/CL/DepthwiseConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/CL/DepthwiseConvolutionLayer.cpp | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tests/validation/CL/DepthwiseConvolutionLayer.cpp b/tests/validation/CL/DepthwiseConvolutionLayer.cpp index 5745bdfc9a..1538ddd7dc 100644 --- a/tests/validation/CL/DepthwiseConvolutionLayer.cpp +++ b/tests/validation/CL/DepthwiseConvolutionLayer.cpp @@ -42,10 +42,10 @@ namespace validation { namespace { -RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.001)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ -constexpr RelativeTolerance<float> tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ -constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for DataType::QASYMM8 */ -constexpr float tolerance_num = 0.05f; /**< Tolerance number */ +RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.01)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ +constexpr RelativeTolerance<float> tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ +constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for DataType::QASYMM8 */ +constexpr float tolerance_num = 0.05f; /**< Tolerance number */ const auto depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 3 }); } // namespace |