def __init__(self, bias: Optional[core.Tensor]):
        self._bias = bias
        self._kernel = np.random.uniform(size=y_shape).astype('f4')
        self._min = (-0.8, -0.8, -0.9)
        self._max = (0.9, 0.9, 1.0)

      @def_function.function(
          input_signature=[
              tensor_spec.TensorSpec(
                  name='x', shape=shapes[0], dtype=dtypes.float32
              )
          ]
      )

    : TFL_Op<"bucketize", [Pure, SameOperandsAndResultShape]> {
  let summary = "Bucketizes 'input' based on 'boundaries'.";

  let description = [{
Example:

If the inputs are `boundaries = [0, 10, 100]` and
`input = [[-5, 10000][150, 10][5, 100]]`,
then the output will be `output = [[0, 3][3, 2][1, 3]]`.
  }];

  let arguments = (ins
    TFL_TensorOf<[F32, F64, I32, I64]>:$input,

	http2cipher_TLS_DHE_PSK_WITH_RC4_128_SHA             uint16 = 0x008E
	http2cipher_TLS_DHE_PSK_WITH_3DES_EDE_CBC_SHA        uint16 = 0x008F
	http2cipher_TLS_DHE_PSK_WITH_AES_128_CBC_SHA         uint16 = 0x0090
	http2cipher_TLS_DHE_PSK_WITH_AES_256_CBC_SHA         uint16 = 0x0091
	http2cipher_TLS_RSA_PSK_WITH_RC4_128_SHA             uint16 = 0x0092
	http2cipher_TLS_RSA_PSK_WITH_3DES_EDE_CBC_SHA        uint16 = 0x0093

	XCHGQ AX, DX                            // 4892
	XCHGQ AX, R11                           // 4993
	XEND                                    // 0f01d5
	XGETBV                                  // 0f01d0
	XLAT                                    // d7
	XORB $7, AL                             // 3407
	XORW $61731, AX                         // 663523f1
	XORL $4045620583, AX                    // 35674523f1

	0x13b0: 0x018b, 0x13b1: 0x018e, 0x13b2: 0x0191, 0x13b3: 0x0194, 0x13b4: 0x0197, 0x13b5: 0x019a,
	0x13b6: 0x019d, 0x13b7: 0x01a0, 0x13b8: 0x01a3, 0x13b9: 0x0188, 0x13ba: 0x01a6, 0x13bb: 0x01a9,
	0x13bc: 0x01ac, 0x13bd: 0x01af, 0x13be: 0x01b2, 0x13bf: 0x01b5,
	// Block 0x4f, offset 0x13c0
	0x13c0: 0x01fd, 0x13c1: 0x0200, 0x13c2: 0x0203, 0x13c3: 0x045b, 0x13c4: 0x01c7, 0x13c5: 0x01d0,

	0x1330: 0x018b, 0x1331: 0x018e, 0x1332: 0x0191, 0x1333: 0x0194, 0x1334: 0x0197, 0x1335: 0x019a,
	0x1336: 0x019d, 0x1337: 0x01a0, 0x1338: 0x01a3, 0x1339: 0x0188, 0x133a: 0x01a6, 0x133b: 0x01a9,
	0x133c: 0x01ac, 0x133d: 0x01af, 0x133e: 0x01b2, 0x133f: 0x01b5,
	// Block 0x4d, offset 0x1340
	0x1340: 0x01fd, 0x1341: 0x0200, 0x1342: 0x0203, 0x1343: 0x045b, 0x1344: 0x01c7, 0x1345: 0x01d0,

	0x13b0: 0x018b, 0x13b1: 0x018e, 0x13b2: 0x0191, 0x13b3: 0x0194, 0x13b4: 0x0197, 0x13b5: 0x019a,
	0x13b6: 0x019d, 0x13b7: 0x01a0, 0x13b8: 0x01a3, 0x13b9: 0x0188, 0x13ba: 0x01a6, 0x13bb: 0x01a9,
	0x13bc: 0x01ac, 0x13bd: 0x01af, 0x13be: 0x01b2, 0x13bf: 0x01b5,
	// Block 0x4f, offset 0x13c0
	0x13c0: 0x01fd, 0x13c1: 0x0200, 0x13c2: 0x0203, 0x13c3: 0x045b, 0x13c4: 0x01c7, 0x13c5: 0x01d0,

	0x13b0: 0x018b, 0x13b1: 0x018e, 0x13b2: 0x0191, 0x13b3: 0x0194, 0x13b4: 0x0197, 0x13b5: 0x019a,
	0x13b6: 0x019d, 0x13b7: 0x01a0, 0x13b8: 0x01a3, 0x13b9: 0x0188, 0x13ba: 0x01a6, 0x13bb: 0x01a9,
	0x13bc: 0x01ac, 0x13bd: 0x01af, 0x13be: 0x01b2, 0x13bf: 0x01b5,
	// Block 0x4f, offset 0x13c0
	0x13c0: 0x01fd, 0x13c1: 0x0200, 0x13c2: 0x0203, 0x13c3: 0x045b, 0x13c4: 0x01c7, 0x13c5: 0x01d0,

	0x13b0: 0x018b, 0x13b1: 0x018e, 0x13b2: 0x0191, 0x13b3: 0x0194, 0x13b4: 0x0197, 0x13b5: 0x019a,
	0x13b6: 0x019d, 0x13b7: 0x01a0, 0x13b8: 0x01a3, 0x13b9: 0x0188, 0x13ba: 0x01a6, 0x13bb: 0x01a9,
	0x13bc: 0x01ac, 0x13bd: 0x01af, 0x13be: 0x01b2, 0x13bf: 0x01b5,
	// Block 0x4f, offset 0x13c0
	0x13c0: 0x01fd, 0x13c1: 0x0200, 0x13c2: 0x0203, 0x13c3: 0x045b, 0x13c4: 0x01c7, 0x13c5: 0x01d0,

	0x1370: 0x018b, 0x1371: 0x018e, 0x1372: 0x0191, 0x1373: 0x0194, 0x1374: 0x0197, 0x1375: 0x019a,
	0x1376: 0x019d, 0x1377: 0x01a0, 0x1378: 0x01a3, 0x1379: 0x0188, 0x137a: 0x01a6, 0x137b: 0x01a9,
	0x137c: 0x01ac, 0x137d: 0x01af, 0x137e: 0x01b2, 0x137f: 0x01b5,
	// Block 0x4e, offset 0x1380
	0x1380: 0x01fd, 0x1381: 0x0200, 0x1382: 0x0203, 0x1383: 0x045b, 0x1384: 0x01c7, 0x1385: 0x01d0,