const OpRegistrationData* op_reg;
    if (OpRegistry::Global()->LookUp(call_target.name(), &op_reg).ok()) {
      const OpDef& op = op_reg->op_def;
      if (absl::c_any_of(op.output_arg(), [](const OpDef::ArgDef arg) {
            return arg.is_ref();
          })) {
        return true;
      }
      continue;
    }

    callee_ref_nodes.clear();
    FunctionLibraryRuntime::Handle handle;

				}

			case c == 11 ||
				c == 12 ||
				// Space (char 32) is not allowed based on the
				// BNF, but RFC 3696 gives an example that
				// assumes that it is. Several “verified”
				// errata continue to argue about this point.
				// We choose to accept it.
				c == 32 ||
				c == 33 ||
				c == 127 ||
				(1 <= c && c <= 8) ||
				(14 <= c && c <= 31) ||
				(35 <= c && c <= 91) ||
				(93 <= c && c <= 126):

Ama hamburgerler 🍔 hazır olmamasına rağmen Kasiyer 💁 ile işiniz "duraklıyor" ⏸, çünkü hamburgerlerin hazır olmasını bekliyoruz 🕙.

      xla::PrintHloProfile(fn.hlo_profile_printer_data(), fn.profile_counters(),
                           /*clock_rate_ghz=*/1.0);
  VLOG(1) << "Original HLO profile string:\n" << hlo_profile_as_string;

  // Replace Arg_n with argn when the MLIR bridge is used.
#if defined(ENABLE_MLIR_BRIDGE_TEST)
  RE2::GlobalReplace(&hlo_profile_as_string, "(Arg_)([0-9].)", "arg\\2");
#endif

     {"All", "Any", "Min", "Max", "Mean", "Prod", "Sum"}},
          // clang-format on
          {"PWRED",
           {"ArgMax", "ArgMin", "DiagPart", "Softmax",
            "SparseSoftmaxCrossEntropyWithLogits", "LogSoftmax"}},
          {"REDUCEWINDOW",
           {"ArgMax", "ArgMin", "DiagPart", "Softmax",
            "SparseSoftmaxCrossEntropyWithLogits", "LogSoftmax"}},

  auto function =
      dyn_cast_or_null<func::FuncOp>(SymbolTable::lookupSymbolIn(module, func));
  FunctionType function_ty = function.getFunctionType();

  for (auto arg_in : llvm::zip(args, function_ty.getInputs())) {
    if (std::get<0>(arg_in).getType() != std::get<1>(arg_in)) {
      // Argument type and input type mismatch.
      return false;
    }
  }
  return true;
}

//   return args_nm1
// } else {
//   return args_n
// }
// but we don't have if/else-if operators. We can convert this to a CaseOp.
// Note, if C_nm1==true and C_nm2 must also be true.
branch_index = int(C_nm2) + int(C_nm1)
selected_results = switch(branch_index) {
  case 0: return args_nm2
  case 1: return args_nm1
  case 2: return args_n
}
return selected_results

// CHECK-LABEL:fill
// CHECK:  "tfl.fill"(%arg0, %arg1) : (tensor<3xi32>, tensor<f32>) -> tensor<?x?x?xf32>
}

func.func @argmin(%arg0: tensor<3xi32>, %arg1: tensor<i32>) -> tensor<i32> {
  %0 = "tf.ArgMin"(%arg0, %arg1) : (tensor<3xi32>, tensor<i32>) -> tensor<i32>
  func.return %0 : tensor<i32>

// CHECK-LABEL: argmin
// CHECK:  "tfl.arg_min"(%arg0, %arg1) : (tensor<3xi32>, tensor<i32>) -> tensor<i32>
}

    self._emit_with_loc('\n}', node)
    return list(zip(ret_ssa_values, out_types))

  def _emit_default_constant_from_proto(self, attr_def):
    """emit mlir constant statement from default value of the ArgDef proto."""
    name = self._ssa_name('cst')
    cst_ty = _get_type_from_proto(None, attr_def)
    try:
      cst_val = _get_val_from_proto(cst_ty, attr_def.default_value)
    except AttributeError:

// CHECK:           %[[VAL_10:.*]] = "tf.Min"(%[[VAL_0]], %[[VAL_9]]) <{keep_dims = false}> : {{.*}} -> tensor<4x32xf32>
// CHECK:           %[[VAL_11:.*]] = "tf.ArgMin"(%[[VAL_0]], %[[VAL_9]]) : {{.*}} -> tensor<4x32xi32>
// CHECK:           return %[[VAL_10]], %[[VAL_11]]
// CHECK:         }
func.func @convert_argmin(%arg0: tensor<4x32x256xf32>) -> (tensor<4x32xf32>, tensor<4x32xi32>) {