ALDEORAD:  3<<30 | 0x1c5<<21 | 0x08<<10,
	ALDEORAW:  2<<30 | 0x1c5<<21 | 0x08<<10,
	ALDEORAH:  1<<30 | 0x1c5<<21 | 0x08<<10,
	ALDEORAB:  0<<30 | 0x1c5<<21 | 0x08<<10,
	ALDEORALD: 3<<30 | 0x1c7<<21 | 0x08<<10,
	ALDEORALW: 2<<30 | 0x1c7<<21 | 0x08<<10,
	ALDEORALH: 1<<30 | 0x1c7<<21 | 0x08<<10,
	ALDEORALB: 0<<30 | 0x1c7<<21 | 0x08<<10,
	ALDEORD:   3<<30 | 0x1c1<<21 | 0x08<<10,
	ALDEORW:   2<<30 | 0x1c1<<21 | 0x08<<10,

</p>

<p>
After a backslash, certain single-character escapes represent special values:
</p>

<pre class="grammar">
\a   U+0007 alert or bell
\b   U+0008 backspace
\f   U+000C form feed
\n   U+000A line feed or newline
\r   U+000D carriage return
\t   U+0009 horizontal tab
\v   U+000B vertical tab
\\   U+005C backslash
\'   U+0027 single quote  (valid escape only within rune literals)

            "uid": "${datasource}"
          },
          "expr": "round(sum(irate(istio_requests_total{reporter=~\"$qrep\",destination_workload_namespace=~\"$namespace\",destination_workload=~\"$workload\"}[5m])), 0.001)",
          "format": "time_series",
          "intervalFactor": 1,
          "refId": "A",
          "step": 4
        }
      ],
      "title": "Incoming Request Volume",
      "type": "stat"
    },

          "datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "expr": "round(sum(irate(istio_requests_total{reporter=~\"$qrep\",destination_service=~\"$service\"}[5m])), 0.001)",
          "format": "time_series",
          "intervalFactor": 1,
          "refId": "A",
          "step": 4
        }
      ],
      "title": "Client Request Volume",
      "type": "stat"
    },

     }
    },
    {
     "name": "0.0.0.0_9080",
     "active_state": {
      "version_info": "2023-06-20T09:07:41Z/3",
      "listener": {
       "@type": "type.googleapis.com/envoy.config.listener.v3.Listener",
       "name": "0.0.0.0_9080",
       "address": {
        "socket_address": {
         "address": "0.0.0.0",
         "port_value": 9080
        }
       },

reduceOptions":{"calcs":["mean"],"fields":"","values":false},"textMode":"auto"},"pluginVersion":"10.1.5","targets":[{"datasource":{"type":"prometheus","uid":"${datasource}"},"expr":"round(sum(irate(istio_requests_total{reporter=\"source\"}[1m])), 0.001)","intervalFactor":1,"refId":"A","step":4}],"title":"Global Request Volume","type":"stat"},{"datasource":{"type":"prometheus","uid":"${datasource}"},"fieldConfig":{"defaults":{"color":{"fixedColor":"rgb(31, 120, 193)","mode":"fixed"},"mappings":[{...

{"Name":"RSHRN, RSHRN2","Bits":"0|1|0|0|1|1|1|1|0|immh:4|immb:3|1|0|0|0|1|1|Rn:5|Rd:5","Arch":"Vector variant","Syntax":"RSHRN2 <Vd>.<Tb>, <Vn>.<Ta>, #<shift>","Code":"if immh == '0000' then SEE \"Advanced SIMD modified immediate\";","Alias":""},

  const auto padding = GetTflitePadding(inst, op.padding());
  if (padding) {
    pool_params.padding = *padding;
    pool_params.activation = kTfLiteActNone;
    pool_params.computed.padding = TfLitePaddingValues{0, 0, 0, 0};
    return pool_params;
  }

  return std::nullopt;
}

namespace {

using ::mlir::tf_saved_model::kTfSavedModelExportedNamesAttr;
using ::mlir::tf_saved_model::kTfSavedModelIndexPathAttr;

	}
	return
}

func GetCurrentProcessId() (pid uint32) {
	r0, _, _ := syscall.Syscall(procGetCurrentProcessId.Addr(), 0, 0, 0, 0)
	pid = uint32(r0)
	return
}

func GetCurrentThreadId() (id uint32) {
	r0, _, _ := syscall.Syscall(procGetCurrentThreadId.Addr(), 0, 0, 0, 0)
	id = uint32(r0)
	return
}

^bb0(%arg0: tensor<8x8x8x8xf32>, %arg1: tensor<8xf32>, %arg2: tensor<8xf32>, %arg3: tensor<8xf32>, %arg4: tensor<8xf32>):
  %0:5 = "tf.FusedBatchNorm"(%arg0, %arg1, %arg2, %arg3, %arg4) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", epsilon = 0.001 : f32, is_training = false} : (tensor<8x8x8x8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>) -> (tensor<8x8x8x8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>)
  func.return %0#0 : tensor<8x8x8x8xf32>