uid: uidValue
  resourceVersion: resourceVersionValue
  selfLink: selfLinkValue
  uid: uidValue
spec:
  acquireTime: "2003-01-01T01:01:01.000003Z"
  holderIdentity: holderIdentityValue
  leaseDurationSeconds: 2
  leaseTransitions: 5

        "subresource": "subresourceValue"
      }
    ]
  },
  "spec": {
    "holderIdentity": "holderIdentityValue",
    "leaseDurationSeconds": 2,
    "acquireTime": "2003-01-01T01:01:01.000003Z",
    "renewTime": "2004-01-01T01:01:01.000004Z",
    "leaseTransitions": 5
  }

    uid: uidValue
  resourceVersion: resourceVersionValue
  selfLink: selfLinkValue
  uid: uidValue
spec:
  acquireTime: "2003-01-01T01:01:01.000003Z"
  holderIdentity: holderIdentityValue
  leaseDurationSeconds: 2
  leaseTransitions: 5

        "subresource": "subresourceValue"
      }
    ]
  },
  "spec": {
    "holderIdentity": "holderIdentityValue",
    "leaseDurationSeconds": 2,
    "acquireTime": "2003-01-01T01:01:01.000003Z",
    "renewTime": "2004-01-01T01:01:01.000004Z",
    "leaseTransitions": 5
  }

000000c0  6f 20 52 6f 6f 74 30 1e  17 0d 31 36 30 31 30 31  |o Root0...160101|
000000d0  30 30 30 30 30 30 5a 17  0d 32 35 30 31 30 31 30  |000000Z..2501010|
000000e0  30 30 30 30 30 5a 30 1a  31 0b 30 09 06 03 55 04  |00000Z0.1.0...U.|
000000f0  0a 13 02 47 6f 31 0b 30  09 06 03 55 04 03 13 02  |...Go1.0...U....|
00000100  47 6f 30 81 9f 30 0d 06  09 2a 86 48 86 f7 0d 01  |Go0..0...*.H....|

00000300  19 d4 e5 d3 78 f5 ed d8  09 7b de 61 6f 65 2c 69  |....x....{.aoe,i|
00000310  a1 d2 5d 07 bf 99 26 2b  70 fa 34 26 30 41 59 3b  |..]...&+p.4&0AY;|
00000320  bc a3 10 9c 92 fa 60 a7  df ea e4 8a 3a 76 16 03  |......`.....:v..|
00000330  01 00 04 0e 00 00 00                              |.......|
>>> Flow 3 (client to server)

  %q2 = "quantfork.qcast"(%cst) {volatile} : (tensor<3x2xf32>) -> tensor<3x2x!quant.uniform<i8<-127:127>:f32, 5.000000e-03>>
  %dot = stablehlo.dot %q1, %q2 : (tensor<1x3x!quant.uniform<i8:f32, 6.000000e-03:-128>>, tensor<3x2x!quant.uniform<i8<-127:127>:f32, 5.000000e-03>>) -> tensor<1x2x!quant.uniform<i8:f32, 1.000000e-03:-3>>

  %0 = stablehlo.convolution(%arg0, %arg1) dim_numbers = [b, f, 0, 1]x[o, i, 0, 1]->[b, f, 0, 1], window = {pad = [[1, 1], [1, 1]]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x4x3x3x!quant.uniform<i8:f32, 1.000000e+0:-100>>, tensor<2x4x3x3x!quant.uniform<i8:f32:0, {2.000000e+2,...

000002f0  4e 37 c9 2d 59 48 df 15  33 45 dc 4d e9 46 78 8e  |N7.-YH..3E.M.Fx.|
00000300  cc 1e ef c4 2b ea c8 bc  a1 2e 58 18 60 a2 98 5a  |....+.....X.`..Z|
00000310  cf 95 0d 18 6a f7 67 cb  6d a4 4a 5b 0d f1 ee 5e  |....j.g.m.J[...^|
00000320  08 80 e5 90 cc 9a 5e 7f  ea 69 5f a9 0f f3 a2 9b  |......^..i_.....|
00000330  15 16 03 03 00 04 0e 00  00 00                    |..........|
>>> Flow 3 (client to server)

  // CHECK-DAG: %[[FILTER:.+]] = mhlo.constant dense<{{\[\[\[\[}}1.000000e+00, 2.000000e+00], [3.000000e+00, 4.000000e+00], [5.000000e+00, 6.000000e+00]]]]> : tensor<1x1x3x2xf32>
  // CHECK-DAG: %[[CST_0:.+]] = mhlo.constant dense<[1.000000e-01, 2.000000e-01]> : tensor<2xf32>
  // CHECK-DAG: %[[CST_1:.+]] = mhlo.constant dense<[3.000000e-01, 4.000000e-01]> : tensor<2xf32>