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-rw-r--r--tests/validation/NEON/DirectConvolution3D.cpp11
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",
{