For example:

```python
c = tf.constant([[1,2,3,4], [-1,-2,-3,-4], [5,6,7,8]])

# Select two rows, one segment.
tf.sparse_segment_sum(c, tf.constant([0, 1]), tf.constant([0, 0]))
# => [[0 0 0 0]]

# Select two rows, two segment.
tf.sparse_segment_sum(c, tf.constant([0, 1]), tf.constant([0, 1]))
# => [[ 1  2  3  4]
#     [-1 -2 -3 -4]]

        server.register("multiply", _remote_multiply) ```

    *   Example usage to create client: `python client =
        tf.distribute.experimental.rpc.Client.create("grpc", address) a =
        tf.constant(2, dtype=tf.int32) b = tf.constant(3, dtype=tf.int32)
        result = client.multiply(a, b)`

*   `tf.lite`:

    *   Add experimental API `experimental_from_jax` to support conversion from

But farther; by the 24th Observation it appears, that there is a
constant relation between Colours and Refrangibility; the most
refrangible Rays being violet, the least refrangible red, and those of
intermediate Colours having proportionably intermediate degrees of
Refrangibility. And by the 13th, 14th, and 15th Observations, compared
with the 4th or 18th there appears to be the same constant relation

2107          ; mapped                 ; 025B          # 1.1  EULER CONSTANT
2108          ; valid                  ;      ; NV8    # 1.1  SCRUPLE
2109          ; mapped                 ; 00B0 0066     # 1.1  DEGREE FAHRENHEIT
210A          ; mapped                 ; 0067          # 1.1  SCRIPT SMALL G
210B..210E    ; mapped                 ; 0068          # 1.1  SCRIPT CAPITAL H..PLANCK CONSTANT

		{"PlusBuildLines", Func, 16},
		{"SyntaxError", Type, 16},
		{"SyntaxError.Err", Field, 16},
		{"SyntaxError.Offset", Field, 16},
		{"TagExpr", Type, 16},
		{"TagExpr.Tag", Field, 16},
	},
	"go/constant": {
		{"(Kind).String", Method, 18},
		{"BinaryOp", Func, 5},
		{"BitLen", Func, 5},
		{"Bool", Const, 5},
		{"BoolVal", Func, 5},
		{"Bytes", Func, 5},
		{"Compare", Func, 5},

            tuple_value {
            }
          }
        }
      }
      dependencies {
        node_id: 5
        local_name: "capture_0"
      }
    }
    nodes {
      constant {
        operation: "Const"
      }
      registered_name: "tf.TrackableConstant"
    }
    concrete_functions {
      key: "__inference_<lambda>_18"
      value {
        bound_inputs: 5

	test_int8{fn: xor_127_int8, fnname: "xor_127_int8", in: 127, want: 0},
	test_int8{fn: xor_int8_127, fnname: "xor_int8_127", in: 127, want: 0}}

// TestArithmeticConst tests results for arithmetic operations against constants.
func TestArithmeticConst(t *testing.T) {
	for _, test := range tests_uint64 {
		if got := test.fn(test.in); got != test.want {
			t.Errorf("%s(%d) = %d, want %d\n", test.fnname, test.in, got, test.want)
		}