(TF_TensorScatterUpdateOp $input, $indices,
     (TF_AddOp $updates, (CreateGatherNdOp $updates, $input, $indices)))>;

//===----------------------------------------------------------------------===//
// AddV2 op patterns.
//===----------------------------------------------------------------------===//

// This is mostly safe, we can use i64 but it will break Darwinn case.

	save, restore string
}

func (l *layout) add(op, reg string, size int) {
	l.regs = append(l.regs, regPos{saveOp: op, restoreOp: op, reg: reg, pos: l.stack})
	l.stack += size
}

func (l *layout) add2(sop, rop, reg string, size int) {
	l.regs = append(l.regs, regPos{saveOp: sop, restoreOp: rop, reg: reg, pos: l.stack})
	l.stack += size
}

func (l *layout) addSpecial(save, restore string, size int) {

    %10 = "tf.Cast"(%arg3) {Truncate = false, device = ""} : (tensor<i32>) -> tensor<f32>
    %11 = "tf.AddV2"(%arg3, %9) {device = ""} : (tensor<i32>, tensor<i32>) -> tensor<i32>
    %12 = "tf.StackPushV2"(%arg4, %10) {device = "", swap_memory = false} : (tensor<!tf_type.resource>, tensor<f32>) -> tensor<f32>
    %13 = "tf.AddV2"(%arg1, %9) {device = ""} : (tensor<i32>, tensor<i32>) -> tensor<i32>

	PrefixLOCK:     "LOCK",
	PrefixREP:      "REP",
	PrefixREPN:     "REPN",
	PrefixAddrSize: "ADDRSIZE",
	PrefixDataSize: "DATASIZE",
	PrefixAddr16:   "ADDR16",
	PrefixData16:   "DATA16",
	PrefixAddr32:   "ADDR32",
	PrefixData32:   "DATA32",
	PrefixBND:      "BND",
	PrefixXACQUIRE: "XACQUIRE",
	PrefixXRELEASE: "XRELEASE",
	PrefixREX:      "REX",
	PrefixPT:       "PT",
	PrefixPN:       "PN",
}

  %const = "tf.Const"() {__op_key = 2 : i32, value = dense<1> : tensor<i32>} : () -> tensor<i32>
  %a = "tf.AddV2"(%arg2, %const) {__op_key = 3: i32}: (tensor<i32>, tensor<i32>) -> tensor<i32>
  return

        %cst = "tf.Const"() {device = "", value = dense<[1.0, 2.0]> : tensor<2xf32>} : () -> tensor<2xf32>
        %add = "tf.AddV2"(%cst, %cst) : (tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32>
        %var_handle = "tf.VarHandleOp"() {container = "", device = "/device:CPU:0", shared_name = "var_0"} : () -> tensor<!tf_type.resource<tensor<2xf32>>>

	{"X5", "X5"},
	{"X6", "X6"},
	{"X7", "X7"},
	{"X8", "X8"},
	{"X9", "X9"},
	{"_expand_key_128<>(SB)", "_expand_key_128<>(SB)"},
	{"_seek<>(SB)", "_seek<>(SB)"},
	{"a2+16(FP)", "a2+16(FP)"},
	{"addr2+24(FP)", "addr2+24(FP)"},
	{"asmcgocall<>(SB)", "asmcgocall<>(SB)"},
	{"b+24(FP)", "b+24(FP)"},
	{"b_len+32(FP)", "b_len+32(FP)"},
	{"racecall<>(SB)", "racecall<>(SB)"},
	{"rcv_name+20(FP)", "rcv_name+20(FP)"},

      "    node_def {"
      "      name: 'add2'"
      "      op: 'Add'"
      "      input: 'add1:z:0'"
      "      input: 'read2:value:0'"
      "      attr {"
      "        key: 'T'"
      "        value {"
      "          type: DT_FLOAT"
      "        }"
      "      }"
      "    }"
      "    ret {"
      "      key: 'sum'"
      "      value: 'add2:z:0'"
      "    }",
      &def));

  // CHECK-NEXT: %[[CONST1:.*]] = "tf.Const"() <{value = dense<1> : tensor<1xi32>}> : () -> tensor<1xi32>
  // CHECK-NEXT: %[[NEW_SIZE:.*]] = "tf.AddV2"(%[[READ_SIZE]], %[[CONST1]]) : (tensor<1xi32>, tensor<1xi32>) -> tensor<1xi32>
  // CHECK-NEXT: "tf.AssignVariableOp"(%[[SIZE]], %[[NEW_SIZE]]) : (tensor<!tf_type.resource<tensor<1xi32>>>, tensor<1xi32>) -> ()

  (TF_AddOp:$src TF_NumberTensor:$arg0, TF_NumberTensor:$arg1),
  (TF_AddV2Op:$dest $arg0, $arg1), [], [(CopyAttrs $src, $dest)]>;

//===----------------------------------------------------------------------===//
// AddV2 op patterns.
//===----------------------------------------------------------------------===//

def AddV2OfNegLeft : Pat<
  (TF_AddV2Op:$src (TF_NegOp $arg0), $arg1), (TF_SubOp:$dest $arg1, $arg0),