CPred<"$_op.getOperand(0).getType().cast<ShapedType>().getRank() <= 1">,
          CPred<"$_op.getOperand(0).getType().cast<ShapedType>().getRank() == 2 && !$_op.getOperand(0).getType().cast<ShapedType>().hasStaticShape()">,
          CPred<"$_op.getOperand(0).getType().cast<ShapedType>().getRank() == 2 && $_op.getOperand(0).getType().cast<ShapedType>().getShape()[1] <= 4">]>>]> {

// CHECK-LABEL: Tanh
// CHECK:  "tfl.tanh"(%arg0) : (tensor<1xf32>) -> tensor<1xf32>
}

func.func @cast(%arg0: tensor<1x2x2x5xi32>) -> tensor<1x2x2x5xf32> {
  %0 = "tf.Cast"(%arg0) : (tensor<1x2x2x5xi32>) -> tensor<1x2x2x5xf32>
  func.return %0 : tensor<1x2x2x5xf32>

  // CHECK-LABEL: cast
  // CHECK: "tfl.cast"(%arg0) : (tensor<1x2x2x5xi32>) -> tensor<1x2x2x5xf32>
}

static LogicalResult Verify(OpT op) {
  if (!HasRankAtLeast(op.getX(), 2)) {
    return op.emitOpError("requires lhs operand to have rank at least two");
  }
  if (!HasRankAtLeast(op.getY(), 2)) {
    return op.emitOpError("requires rhs operand to have rank at least two");
  }

  RankedTensorType x_ty = GetRankedTensorTypeForOperand(op.getX());
  RankedTensorType y_ty = GetRankedTensorTypeForOperand(op.getY());

    tar xzf easy-rsa.tar.gz
    mkdir easy-rsa-master/kubelet
    cp -r easy-rsa-master/easyrsa3/* easy-rsa-master/kubelet
    mkdir easy-rsa-master/aggregator
    cp -r easy-rsa-master/easyrsa3/* easy-rsa-master/aggregator
    mkdir easy-rsa-master/cloud-pvl-admission
    cp -r easy-rsa-master/easyrsa3/* easy-rsa-master/cloud-pvl-admission

  %0 = "tf.Cast"(%arg0) {Truncate = false} : (tensor<8x16x32x64xf32>) -> tensor<8x16x32x64xi32>
  %1 = "tf.Cast"(%arg0) {Truncate = true} : (tensor<8x16x32x64xf32>) -> tensor<8x16x32x64xi32>
  func.return %0, %1: tensor<8x16x32x64xi32>, tensor<8x16x32x64xi32>

  // CHECK: %0 = "tf.Cast"(%arg0) <{Truncate = false}> : (tensor<8x16x32x64xf32>) -> tensor<8x16x32x64xi32>

		}
		value, ok := cfg.Spec.(*networking.Gateway)
		if !ok {
			v = AppendValidation(v, fmt.Errorf("cannot cast to gateway: %#v", cfg.Spec))
			return v.Unwrap()
		}

		if len(value.Servers) == 0 {
			v = AppendValidation(v, fmt.Errorf("gateway must have at least one server"))
		} else {
			for _, server := range value.Servers {
				v = AppendValidation(v, validateServer(server, gatewaySemantics))

  %5 = "tf.Range"(%4, %3, %2) : (tensor<i32>, tensor<i32>, tensor<i32>) -> tensor<4096xi32>
  %6 = "tf.Equal"(%1, %5) : (tensor<*xi32>, tensor<4096xi32>) -> tensor<*xi1>
  %7 = "tf.Cast"(%6) : (tensor<*xi1>) -> tensor<*xf32>
  %8 = "tf.BatchMatMulV2"(%7, %arg0) {adj_x = false, adj_y = false} : (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32>
  func.return %8 : tensor<*xf32>
}

  public static <K extends Enum<K>, V> ImmutableMap<K, V> immutableEnumMap(
      Map<K, ? extends V> map) {
    if (map instanceof ImmutableEnumMap) {
      @SuppressWarnings("unchecked") // safe covariant cast
      ImmutableEnumMap<K, V> result = (ImmutableEnumMap<K, V>) map;
      return result;
    }
    Iterator<? extends Entry<K, ? extends V>> entryItr = map.entrySet().iterator();
    if (!entryItr.hasNext()) {

  public static <K extends Enum<K>, V> ImmutableMap<K, V> immutableEnumMap(
      Map<K, ? extends V> map) {
    if (map instanceof ImmutableEnumMap) {
      @SuppressWarnings("unchecked") // safe covariant cast
      ImmutableEnumMap<K, V> result = (ImmutableEnumMap<K, V>) map;
      return result;
    }
    Iterator<? extends Entry<K, ? extends V>> entryItr = map.entrySet().iterator();
    if (!entryItr.hasNext()) {

github.com/spf13/afero v1.11.0/go.mod h1:GH9Y3pIexgf1MTIWtNGyogA5MwRIDXGUr+hbWNoBjkY=
github.com/spf13/cast v1.3.0/go.mod h1:Qx5cxh0v+4UWYiBimWS+eyWzqEqokIECu5etghLkUJE=
github.com/spf13/cast v1.3.1/go.mod h1:Qx5cxh0v+4UWYiBimWS+eyWzqEqokIECu5etghLkUJE=
github.com/spf13/cast v1.6.0 h1:GEiTHELF+vaR5dhz3VqZfFSzZjYbgeKDpBxQVS4GYJ0=
github.com/spf13/cast v1.6.0/go.mod h1:ancEpBxwJDODSW/UG4rDrAqiKolqNNh2DX3mk86cAdo=