{"4.0", "2.0"},

		{"1p512", "1p256"},
		{"4p1024", "2p512"},
		{"9p2048", "3p1024"},

		{"1p-1024", "1p-512"},
		{"4p-2048", "2p-1024"},
		{"9p-4096", "3p-2048"},
	} {

"12.4.4 UNIMPLEMENTED"
"12.4.5 UNIMPLEMENTED"
"12.4.6 UNIMPLEMENTED"
"12.4.7 UNIMPLEMENTED"
"12.4.8 UNIMPLEMENTED"
"12.4.9 UNIMPLEMENTED"
"12.5.1 UNIMPLEMENTED"
"12.5.10 UNIMPLEMENTED"
"12.5.11 UNIMPLEMENTED"
"12.5.12 UNIMPLEMENTED"
"12.5.13 UNIMPLEMENTED"
"12.5.14 UNIMPLEMENTED"
"12.5.15 UNIMPLEMENTED"
"12.5.16 UNIMPLEMENTED"
"12.5.17 UNIMPLEMENTED"
"12.5.18 UNIMPLEMENTED"
"12.5.2 UNIMPLEMENTED"
"12.5.3 UNIMPLEMENTED"

	case 55: /* negf freg, freg */
		o1 = c.oprrr(p, p.As, int(p.Scond))

		rf := int(p.From.Reg)
		rt := int(p.To.Reg)

		o1 |= (uint32(rf)&15)<<0 | (uint32(rt)&15)<<12

	case 56: /* move to FP[CS]R */
		o1 = ((uint32(p.Scond)&C_SCOND)^C_SCOND_XOR)<<28 | 0xee1<<16 | 0xa1<<4

		o1 |= (uint32(p.From.Reg) & 15) << 12

	case 57: /* move from FP[CS]R */

      attributes {tf_saved_model.exported_names = ["a", "b", "c"]} {
    return
  }
}

// -----

module attributes {tf.versions = {bad_consumers = [], min_consumer = 12 : i32, producer = 1512 : i32}} {
  // CHECK-LABEL @lowers_string_ops
  // CHECK-DAG: ml_program.global public @vars.Variable_1([]) : tensor<!tf_type.string>

  func.return %0 : tensor<1x512xf32>
}

// CHECK:       func @mean_4d_no_keepdim([[VAL_0:%.*]]: tensor<1x48x48x512xf32>) -> tensor<1x512xf32> {
// CHECK:           [[VAL_1:%.*]] = "tfl.pseudo_const"(){{.*}}dense<[1, 512]> : tensor<2xi32>

	}
	return 1000 + 256 + i
}

func testPosetOps(t *testing.T, unsigned bool, ops []posetTestOp) {
	var v [1512]*Value
	for i := range v {
		v[i] = new(Value)
		v[i].ID = ID(i)
		if i >= 1000 && i < 1256 {
			v[i].Op = OpConst64
			v[i].AuxInt = int64(i - 1000 - 128)
		}
		if i >= 1256 && i < 1512 {
			v[i].Op = OpConst64
			v[i].AuxInt = int64(i - 1000 - 256)
		}
	}

	po := newPoset()

	}
	offset = (0xe << 24) | // opcode
		(op1 << 20) | // MCR/MRC
		((int64(bits) ^ arm.C_SCOND_XOR) << 28) | // scond
		((x0 & 15) << 8) | //coprocessor number
		((x1 & 7) << 21) | // coprocessor operation
		((x2 & 15) << 12) | // ARM register
		((x3 & 15) << 16) | // Crn
		((x4 & 15) << 0) | // Crm
		((x5 & 7) << 5) | // coprocessor information
		(1 << 4) /* must be set */
	return offset, arm.AMRC, true
}

  %result = "tf.TensorArrayGatherV3"(%handle, %indices, %flow_1) {device = "/job:localhost/replica:0/task:0/device:CPU:0", element_shape = #tf_type.shape<1x512>} : (tensor<2x!tf_type.resource<tensor<1x512xf32>>>, tensor<1xi32>, tensor<f32>) -> tensor<1x1x512xf32>
  func.return %result : tensor<1x1x512xf32>

    - [Other notable changes](#other-notable-changes-10)

<!-- END MUNGE: GENERATED_TOC -->

# v1.15.12

[Documentation](https://docs.k8s.io)

## Downloads for v1.15.12

filename | sha512 hash
-------- | -----------

			isErr:         false,
			expectedCurve: elliptic.P256(),
		},
		"ECDSA-P384": {
			key:           ecdsaPrivKeyP384,
			isErr:         false,
			expectedCurve: elliptic.P384(),
		},
		"ECDSA-P512": {
			key:           ecdsaPrivKeyP521,
			isErr:         false,
			expectedCurve: elliptic.P256(),
		},
		"ED25519": {
			key:           ed25519PrivKey,
			isErr:         true,
			expectedCurve: nil,