[]uint{1, 2, 0, 0}, }, { []uint{1, 2}, 2, []uint{1, 2}, }} for i, tt := range examples { got := (&Nat{tt.in}).expand(tt.n) if len(got.limbs) != len(tt.out) || got.Equal(&Nat{tt.out}) != 1 { t.Errorf("%d: got %v, expected %v", i, got, tt.out) } } } func TestMod(t *testing.T) { m := modulusFromBytes([]byte{0x06, 0x80, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0d}) x := natFromBytes([]byte{0x40, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x80, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01}) out := new(Nat) out.Mod(x,...

[]uint{1, 2, 0, 0}, }, { []uint{1, 2}, 2, []uint{1, 2}, }} for i, tt := range examples { got := (&Nat{tt.in}).expand(tt.n) if len(got.limbs) != len(tt.out) || got.Equal(&Nat{tt.out}) != 1 { t.Errorf("%d: got %v, expected %v", i, got, tt.out) } } } func TestMod(t *testing.T) { m := modulusFromBytes([]byte{0x06, 0x80, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0d}) x := natFromBytes([]byte{0x40, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x80, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01}) out := new(Nat) out.Mod(x,...

    *   They are off by default. Enable them by setting the environment variable
        `TF_ENABLE_ONEDNN_OPTS=1`.
    *   We do not recommend using them in GPU systems, as they have not been
        sufficiently tested with GPUs yet.
*   TensorFlow pip packages are now built with CUDA11.2 and cuDNN 8.1.0

## Breaking Changes

*   The `TF_CPP_MIN_VLOG_LEVEL` environment variable has been renamed to