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[ci-fix] Needs review: Widen Tan tolerance for ARM64 iOS simulator precision (refs #129045)#130016

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[ci-fix] Needs review: Widen Tan tolerance for ARM64 iOS simulator precision (refs #129045)#130016
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Workflow artifact: ci-fix
Artifact kind: help
Linked KBE: #129045

Root cause

PR #129652 (merged June 22) changed trigTolerance from null to 1e-5f/1e-14 for float/double when FMA is supported, and removed the [ActiveIssue] that was skipping the test on Apple Mobile CoreCLR. However, the test still fails — 16 hits in the past 7 days, 31 in the past month, all after the fix was merged.

The issue is that Tan = Sin/Cos amplifies range-reduction rounding errors. For large radian inputs (the test sweeps -100 to 100), the vectorized range reduction on ARM64 differs from scalar, and these differences compound through the division. While 1e-5f for float is sufficient for Sin and Cos individually, it is too tight for Tan.

Failing log line (build 1449088):

Assert.All() Failure: 153 out of 201 items in the collection did not pass.
Expected: 0.4103213
Actual:   0.4103199

Fix

Give Tan its own wider tolerance instead of sharing trigTolerance with Sin/Cos:

  • Float: 1e-4f (was 1e-5f) — matches the non-FMA trig tolerance and SinPi's float tolerance
  • Double: 1e-10 (was 1e-14) — matches the non-FMA trig tolerance

This follows the existing pattern where functions with known wider precision divergence have their own inline tolerance (e.g., SinPi at line 508, Cbrt at line 474).

What is unverified / help needed

  • Build not validated: Environment lacks .NET 11 SDK. Could not run dotnet build or tests.
  • Tolerance magnitude: The 1e-4f float tolerance is the same as the non-FMA case. It may be more generous than strictly needed, but it is safe (it only relaxes the check). If on-device testing shows tighter bounds work, the tolerance can be reduced.
  • Double tolerance: The 1e-10 double tolerance is also the non-FMA value. The actual required tolerance for double Tan on ARM64 may be tighter, but we don't have the actual double diff values from the KBE.
  • Other platforms: This tolerance change applies to all platforms, not just iOS ARM64. On platforms where vectorized Tan is more precise, the looser tolerance is still safe.

Suggested reviewers / area contacts

  • @tannergooding (area-System.Numerics.Tensors owner)

Validation

  • Command: dotnet build src/libraries/System.Numerics.Tensors/tests/System.Numerics.Tensors.Tests.csproj
  • Result: not run because environment lacks .NET 11 SDK

Evidence


Filed by ci-failure-fix, which attempts validated fixes for [ci-scan] Known Build Errors and otherwise loops in owners. Comment here or on the workflow file to suggest changes; ci-failure-scan-feedback reads in-scope feedback daily and opens (or updates) a PR with prompt edits.

Note

🔒 Integrity filter blocked 2 items

The following items were blocked because they don't meet the GitHub integrity level.

To allow these resources, lower min-integrity in your GitHub frontmatter:

tools:
  github:
    min-integrity: approved  # merged | approved | unapproved | none

Generated by CI Outer-Loop Failure Fixer · ● 29.7M ·

The previous fix (PR #129652) set trigTolerance to 1e-5f/1e-14 for
float/double when FMA is supported, but the test still fails on
iossimulator-arm64 (153/201 items for Single, 123/201 for Double).

Tan = Sin/Cos amplifies range-reduction rounding errors for large
radian inputs (-100 to 100), requiring a wider tolerance than Sin or
Cos individually. Use the non-FMA tolerance values (1e-4f/1e-10)
specifically for Tan, matching the pattern used by SinPi.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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