*   Deterministic Op Functionality:

    *   Fix regression in deterministic selection of deterministic cuDNN
        convolution algorithms, a regression that was introduced in v2.5. Note
        that nondeterministic out-of-memory events while selecting algorithms
        could still lead to nondeterminism, although this is very unlikely. This

accP1xP1.AddAffine(accP3, &tmp3) accP3.fromP1xP1(&accP1xP1) if accP3.Equal(I) != 1 { t.Errorf("Consistency check on ProjLookupTable.SelectInto failed! %x %x %x", tmp1, tmp2, tmp3) } } func TestNafLookupTable5(t *testing.T) { var table nafLookupTable5 table.FromP3(B) var tmp1, tmp2, tmp3, tmp4 projCached table.SelectInto(&tmp1, 9) table.SelectInto(&tmp2, 11) table.SelectInto(&tmp3, 7) table.SelectInto(&tmp4, 13) // Expect T1 + T2 = T3 + T4 var accP1xP1 projP1xP1 lhs := NewIdentityPoint() rhs := NewIdentityPoint() accP1xP1.Add(lhs,...

accP1xP1.AddAffine(accP3, &tmp3) accP3.fromP1xP1(&accP1xP1) if accP3.Equal(I) != 1 { t.Errorf("Consistency check on ProjLookupTable.SelectInto failed! %x %x %x", tmp1, tmp2, tmp3) } } func TestNafLookupTable5(t *testing.T) { var table nafLookupTable5 table.FromP3(B) var tmp1, tmp2, tmp3, tmp4 projCached table.SelectInto(&tmp1, 9) table.SelectInto(&tmp2, 11) table.SelectInto(&tmp3, 7) table.SelectInto(&tmp4, 13) // Expect T1 + T2 = T3 + T4 var accP1xP1 projP1xP1 lhs := NewIdentityPoint() rhs := NewIdentityPoint() accP1xP1.Add(lhs,...

  
  - make kube::util::find-binary not dependent on bazel-out/ structure
  
    Implement an aspect that outputs go_build_mode metadata for go binaries,
    and use that during binary selection. ([#94838](https://github.com/kubernetes/kubernetes/pull/94838), [@justaugustus](https://github.com/justaugustus)) [SIG Architecture, Release and Testing]

### Design