%0 = "tf.Const"() {value = dense<10000000> : tensor<1xi32>} : () -> tensor<1xi32>
    // CHECK-NOT: tf.ParameterizedTruncatedNormal
    %1 = "tf.ParameterizedTruncatedNormal"(%0, %arg0, %arg1, %arg2, %arg3) {seed = 0 : i64, seed2 = 0 : i64} : (tensor<1xi32>, tensor<f32>, tensor<f32>, tensor<f32>, tensor<f32>) -> tensor<10000000xf32>
    func.return %1 : tensor<10000000xf32>

      "MaxPoolGradV2",
      "MaxPoolV2",
      "Multinomial",
      "NextAfter",
      "NonMaxSuppressionV3",
      "NonMaxSuppressionV4",
      "ParallelDynamicStitch",
      "ParameterizedTruncatedNormal",
      "PartitionedCall",
      "Polygamma",
      "PopulationCount",
      "Qr",
      "QuantizeAndDequantizeV2",
      "QuantizeAndDequantizeV3",
      "QuantizeAndDequantizeV4",

*   Fixes a `CHECK` fail in `Save` and `SaveSlices` ([CVE-2022-35983](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35983))
*   Fixes a `CHECK` fail in `ParameterizedTruncatedNormal` ([CVE-2022-35984](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35984))
*   Fixes a `CHECK` fail in `LRNGrad` ([CVE-2022-35985](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35985))

  let results = (outs
    TF_VariantTensor:$handle
  );

  TF_DerivedOperandTypeListAttr Targuments = TF_DerivedOperandTypeListAttr<1>;
}

def TF_ParameterizedTruncatedNormalOp : TF_Op<"ParameterizedTruncatedNormal", [TF_CannotDuplicate]> {
  let summary = [{
Outputs random values from a normal distribution. The parameters may each be a
  }];

  let description = [{