for synchronous training workloads where example sizes vary. With strict
        round robin reads, users can guarantee that consumers get similar-sized
        examples in the same step.
    *   tf.data service now supports optional compression. Previously data would
        always be compressed, but now you can disable compression by passing

controls and our custom form controls (e.g., input groups).\n\n.form-inline {\n  display: flex;\n  flex-flow: row wrap;\n  align-items: center; // Prevent shorter elements from growing to same height as others (e.g., small buttons growing to normal sized button height)\n\n  // Because we use flex, the initial sizing of checkboxes is collapsed and\n  // doesn't occupy the full-width (which is what we want for xs grid tier),\n  // so we force that here.\n  .form-check {\n    width: 100%;\n  }\n\n  //...

|| err.Error() != expected { t.Errorf("NewModulus(1) got %q, want %q", err, expected) } } func makeTestValue(nbits int) []uint { n := nbits / _W x := make([]uint, n) for i := range n { x[i]-- } return x } func TestAddMulVVWSized(t *testing.T) { // Sized addMulVVW have architecture-specific implementations on // a number of architectures. Test that they match the generic // implementation. tests := []struct { n int f func(z, x *uint, y uint) uint }{ {1024, addMulVVW1024}, {1536, addMulVVW1536}, {2048,...