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-rw-r--r-- | tests/validation/NEON/DirectConvolution3D.cpp | 11 |
1 files changed, 0 insertions, 11 deletions
diff --git a/tests/validation/NEON/DirectConvolution3D.cpp b/tests/validation/NEON/DirectConvolution3D.cpp index ff40cf5b74..37c901d2ac 100644 --- a/tests/validation/NEON/DirectConvolution3D.cpp +++ b/tests/validation/NEON/DirectConvolution3D.cpp @@ -50,17 +50,6 @@ constexpr float tolerance_num = 0.07f; #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ constexpr AbsoluteTolerance<float> tolerance_fp32(0.001f); /**< Tolerance for floating point tests */ -/* The following tests are from real use-case that made DirectConvolution - * overflows in terms of its tensor indexing. This test case is using - * a separate tolerance due to the following reason. - * - It has shown that it requires generally larger absolute tolerance - * for large numbers or larger relative tolerance for small numbers. - * - With the first reason, since it is mainly testing index overflow, - * a value with a margin is used to avoid uninteded test failures - * during nightly. - */ -constexpr AbsoluteTolerance<float> usecase_tolerance_fp32(0.05f); - /** Activation function Dataset*/ const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo", { |