TypeID::get<TF::ApproximateEqualOp>(),
        TypeID::get<TF::ApproxTopKOp>(),
        TypeID::get<TF::ArgMaxOp>(),
        TypeID::get<TF::ArgMinOp>(),
        TypeID::get<TF::AsinhOp>(),
        TypeID::get<TF::AsinOp>(),
        TypeID::get<TF::Atan2Op>(),
        TypeID::get<TF::AtanhOp>(),
        TypeID::get<TF::BatchMatMulV2Op>(),
        TypeID::get<TF::BatchMatMulV3Op>(),
        TypeID::get<TF::BatchToSpaceOp>(),

     *
     * @since 3.3
     */
    @Input
    public JavaVersion getJavaVersion() {
        return JavaVersion.toVersion(getJavaLauncher().get().getMetadata().getLanguageVersion().asInt());
    }

    /**
     * {@inheritDoc}
     */
    @Override
    @Internal
    public String getExecutable() {
        return forkOptions.getExecutable();
    }

    /**

}

absl::flat_hash_set<string> GetKnownXLAAllowlistOp() {
  absl::flat_hash_set<string> result{
      "AdjustContrastv2",
      "AdjustHue",
      "AdjustSaturation",
      "Asinh",
      "Assert",
      "AssignAddVariableOp",
      "AssignSubVariableOp",
      "AssignVariableOp",
      "AssignVariableXlaConcatND",
      "AvgPool",
      "AvgPool3D",
      "AvgPool3DGrad",

    }

    // Many strategies for hashing are possible. This might suffice for now.
    int coercedHash = Hashing.murmur3_32_fixed().hashLong(addressAsLong).asInt();

    // Squash into 224/4 Multicast and 240/4 Reserved space (i.e. 224/3).
    coercedHash |= 0xe0000000;

    // Fixup to avoid some "illegal" values. Currently the only potential

    }

    // Many strategies for hashing are possible. This might suffice for now.
    int coercedHash = Hashing.murmur3_32_fixed().hashLong(addressAsLong).asInt();

    // Squash into 224/4 Multicast and 240/4 Reserved space (i.e. 224/3).
    coercedHash |= 0xe0000000;

    // Fixup to avoid some "illegal" values. Currently the only potential

func.func @_UnaryOpsComposition(%arg0: tensor<4xf32>) -> tensor<4xf32> {

  // CHECK: %[[RESULT0:.*]] = "tf.Asin"(%[[ARG0]])
  // CHECK: %[[RESULT1:.*]] = "tf.Abs"(%[[RESULT0]])
  // CHECK: %[[RESULT2:.*]] = "tf.Log"(%[[RESULT1]])
  // CHECK: return %[[RESULT2]]

  %0 = "tf._UnaryOpsComposition"(%arg0) {op_names = ["Asin", "Abs", "Log"]} : (tensor<4xf32>) -> tensor<4xf32>
  func.return %0 : tensor<4xf32>
}

                t1.propertyAssignment(null, "languageVersion",
                    new MethodInvocationExpression(null, "JavaLanguageVersion.of", singletonList(new LiteralValue(languageVersion.asInt()))),
                    true);
            });
        });
    }

    /**
     * Adds a method invocation statement to the configuration of a particular task.
     */

}  // namespace

INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(AbsOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(AcosOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(AcoshOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(AsinOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(AsinhOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(AtanOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(AtanhOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(BesselI0eOp);

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