//go:cgo_import_dynamic sysconf sysconf ""
//go:cgo_import_dynamic sysctl sysctl ""
//go:cgo_import_dynamic sysctlbyname sysctlbyname ""
//go:cgo_import_dynamic task_info task_info ""
//go:cgo_import_dynamic tcgetattr tcgetattr ""
//go:cgo_import_dynamic tcsetattr tcsetattr ""
//go:cgo_import_dynamic unlink unlink ""
//go:cgo_import_dynamic unlockpt unlockpt ""
//go:cgo_import_dynamic usleep usleep ""
//go:cgo_import_dynamic vm_region_64 vm_region_64 ""

//go:cgo_import_dynamic sysconf sysconf ""
//go:cgo_import_dynamic sysctl sysctl ""
//go:cgo_import_dynamic sysctlbyname sysctlbyname ""
//go:cgo_import_dynamic task_info task_info ""
//go:cgo_import_dynamic tcgetattr tcgetattr ""
//go:cgo_import_dynamic tcsetattr tcsetattr ""
//go:cgo_import_dynamic unlink unlink ""
//go:cgo_import_dynamic unlockpt unlockpt ""
//go:cgo_import_dynamic usleep usleep ""
//go:cgo_import_dynamic vm_region_64 vm_region_64 ""

//
// The req value is expected to be TCSETS, TCSETSW, or TCSETSF
func IoctlSetTermios(fd int, req int, value *Termios) error {
	if (req != TCSETS) && (req != TCSETSW) && (req != TCSETSF) {
		return ENOSYS
	}
	err := Tcsetattr(fd, int(req), value)
	runtime.KeepAlive(value)
	return err
}

// IoctlGetInt performs an ioctl operation which gets an integer value
// from fd, using the specified request number.
//

_initializers = _KerasLazyLoader(
    globals(), submodule="initializers", name="initializers", mode="v2")
setattr(_current_module, "losses", _losses)
setattr(_current_module, "metrics", _metrics)
setattr(_current_module, "optimizers", _optimizers)

        if (device_attr.getValue().empty()) {
          op->setAttr(kDeviceAttr, builder.getStringAttr(default_device_));
        }
      } else if (op->getDialect() == tf) {
        // Assign default device to all ops in Tensorflow dialect that do not
        // have device attribute.
        op->setAttr(kDeviceAttr, builder.getStringAttr(default_device_));
      }
    });
  }
};

    // Convert `_tpu_replicate`.
    if (op->hasAttr(TF::kTpuReplicateAttr)) {
      op->setAttr(tensorflow::kReplicationInfoAttr,
                  op->getAttr(TF::kTpuReplicateAttr));
      op->removeAttr(tensorflow::kTpuReplicateAttr);
      op->setAttr(tensorflow::kCompileDeviceTypeAttr,
                  builder.getStringAttr(tensorflow::kTpuDevice));
    }

    // Convert `_XlaMustCompile`.

_initializers = _KerasLazyLoader(
    globals(), submodule="initializers", name="initializers")
setattr(_current_module, "losses", _losses)
setattr(_current_module, "metrics", _metrics)
setattr(_current_module, "optimizers", _optimizers)
setattr(_current_module, "initializers", _initializers)


# Do an eager load for Keras' code so that any function/method that needs to

  mlir::MLIRContext context;
  mlir::OwningOpRef<mlir::ModuleOp> module_ref =
      mlir::ModuleOp::create(mlir::UnknownLoc::get(&context));
  mlir::Builder builder(*module_ref);
  (*module_ref)->setAttr("tf.devices", builder.getBoolAttr(false));

  mlir::TF::RuntimeDevices devices;
  EXPECT_TRUE(mlir::failed(GetDevicesFromOp(*module_ref, &devices)));
}

    if (op->getDialect() != tf_dialect) return WalkResult::advance();

    if (parallel_group_attr) {
      op->setAttr(TF::kParallelExecAnnotation, parallel_group_attr);
    }
    auto device_attr = op->getAttr(kDeviceAttr);
    if (!device_attr) {
      op->setAttr(kDeviceAttr, launch.getDeviceAttr());
      return WalkResult::advance();
    }

  if (reverse_permutation.empty()) return failure();

  (*op)->setAttr("data_format", StringAttr::get(context, target_data_format));

  for (auto pair : shuffle_attrs) {
    StringRef attr_name = pair.first;
    ArrayAttr attr_value = pair.second;
    (*op)->setAttr(attr_name,
                   ShuffleArrayAttr(attr_value, reverse_permutation));
  }