Type:        []string{"string"},
							Format:      "",
							Enum:        []interface{}{"Equal", "Exists"},
						},
					},
					"value": {

          "description": "stabilizationWindowSeconds is the number of seconds for which past recommendations should be considered while scaling up or scaling down. StabilizationWindowSeconds must be greater than or equal to zero and less than or equal to 3600 (one hour). If not set, use the default values: - For scale up: 0 (i.e. no stabilization is done). - For scale down: 300 (i.e. the stabilization window is 300 seconds long).",
          "format": "int32",

          "description": "stabilizationWindowSeconds is the number of seconds for which past recommendations should be considered while scaling up or scaling down. StabilizationWindowSeconds must be greater than or equal to zero and less than or equal to 3600 (one hour). If not set, use the default values: - For scale up: 0 (i.e. no stabilization is done). - For scale down: 300 (i.e. the stabilization window is 300 seconds long).",
          "format": "int32",

          "description": "Operator represents a key's relationship to the value. Valid operators are Exists and Equal. Defaults to Equal. Exists is equivalent to wildcard for value, so that a pod can tolerate all taints of a particular category.\n\nPossible enum values:\n - `\"Equal\"`\n - `\"Exists\"`",
          "enum": [
            "Equal",
            "Exists"
          ],
          "type": "string"
        },

            "type": "string"
          },
          "operator": {
            "description": "Operator represents a key's relationship to the value. Valid operators are Exists and Equal. Defaults to Equal. Exists is equivalent to wildcard for value, so that a pod can tolerate all taints of a particular category.",
            "type": "string"
          },
          "tolerationSeconds": {

  attr {
    key: "T"
    value {
      type: DT_FLOAT
    }
  }
}
node {
  name: "metrics_2/sparse_categorical_accuracy/Equal"
  op: "Equal"
  input: "metrics_2/sparse_categorical_accuracy/Cast"
  input: "metrics_2/sparse_categorical_accuracy/Squeeze"
  device: "/job:localhost/replica:0/task:0/device:GPU:0"
  attr {
    key: "T"

pkg bytes, const MinRead ideal-int
pkg bytes, func Compare([]uint8, []uint8) int
pkg bytes, func Contains([]uint8, []uint8) bool
pkg bytes, func Count([]uint8, []uint8) int
pkg bytes, func Equal([]uint8, []uint8) bool
pkg bytes, func EqualFold([]uint8, []uint8) bool
pkg bytes, func Fields([]uint8) [][]uint8
pkg bytes, func FieldsFunc([]uint8, func(int32) bool) [][]uint8
pkg bytes, func HasPrefix([]uint8, []uint8) bool

      type: DT_INT32
    }
  }
  attr {
    key: "keep_dims"
    value {
      b: false
    }
  }
}
node {
  name: "metrics_2/sparse_categorical_accuracy/Equal"
  op: "Equal"
  input: "metrics_2/sparse_categorical_accuracy/Squeeze"
  input: "metrics_2/sparse_categorical_accuracy/Cast"
  device: "/job:localhost/replica:0/task:0/device:GPU:0"
  attr {
    key: "T"

		nilCheck:       true,
		faultOnNilArg0: true,
		reg: regInfo{
			inputs: []inputInfo{
				{0, 22527}, // R0 R1 R2 R3 R4 R5 R6 R7 R8 R9 g R12 R14
			},
		},
	},
	{
		name:   "Equal",
		argLen: 1,
		reg: regInfo{
			outputs: []outputInfo{
				{0, 21503}, // R0 R1 R2 R3 R4 R5 R6 R7 R8 R9 R12 R14
			},
		},
	},
	{
		name:   "NotEqual",
		argLen: 1,

    "GREATER",
    "GREATER_EQUAL",
    "LESS_EQUAL",
    "SELECT",
    "SLICE",
    "SIN",
    "TRANSPOSE_CONV",
    "SPARSE_TO_DENSE",
    "TILE",
    "EXPAND_DIMS",
    "EQUAL",
    "NOT_EQUAL",
    "LOG",
    "SUM",
    "SQRT",
    "RSQRT",
    "SHAPE",
    "POW",
    "ARG_MIN",
    "FAKE_QUANT",
    "REDUCE_PROD",
    "REDUCE_MAX",
    "PACK",