[Nvidia Jetson TX2] LogicError: cuMemHostRegister failed: operation not supported

I have a Nvidia Jetson TX2. ARM64 aarch64 with 256 core GPU.
I tried to install pycuda on the board by @santhosh.dc in (https://forums.developer.nvidia.com/t/is-the-memory-management-method-of-tx1-and-tx2-different/50650/14).

But in test_driver.py, I encountered error which is same as issue title "LogicError: cuMemHostRegister failed: operation not supported".

`
uniskytx2@uniskytx2:~/pycuda_install/pycuda-2019.1.2/test$ python3 test_driver.py 'TestDriver().test_register_host_memory()'

Traceback (most recent call last):
File "test_driver.py", line 965, in
exec(sys.argv[1])
File "", line 1, in
File "/usr/local/lib/python3.6/dist-packages/pycuda-2019.1.2-py3.6-linux-aarch64.egg/pycuda/tools.py", line 462, in f
inner_f(*args, **kwargs)
File "test_driver.py", line 832, in test_register_host_memory
a_pin = drv.register_host_memory(a)
pycuda._driver.LogicError: cuMemHostRegister failed: operation not supported
`

and this is result of test_driver.py failures

`
===================================================== FAILURES ======================================================
_______________________________________ TestDriver.test_register_host_memory ________________________________________

args = (,), kwargs = {}
pycuda =
ctx =
clear_context_caches = , collect =

def f(*args, **kwargs):
import pycuda.driver
# appears to be idempotent, i.e. no harm in calling it more than once
pycuda.driver.init()

ctx = make_default_context()
try:
assert isinstance(ctx.get_device().name(), str)
assert isinstance(ctx.get_device().compute_capability(), tuple)
assert isinstance(ctx.get_device().get_attributes(), dict)
> inner_f(*args, **kwargs)

/usr/local/lib/python3.6/dist-packages/pycuda-2019.1.2-py3.6-linux-aarch64.egg/pycuda/tools.py:462:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =

@mark_cuda_test
def test_register_host_memory(self):
if drv.get_version() < (4,):
from py.test import skip
skip("register_host_memory only exists on CUDA 4.0 and later")

import sys
if sys.platform == "darwin":
from py.test import skip
skip("register_host_memory is not supported on OS X")

a = drv.aligned_empty((2**20,), np.float64)
> a_pin = drv.register_host_memory(a)
E pycuda._driver.LogicError: cuMemHostRegister failed: operation not supported

test_driver.py:832: LogicError
================================================= warnings summary ==================================================
/usr/local/lib/python3.6/dist-packages/pycuda-2019.1.2-py3.6-linux-aarch64.egg/pycuda/tools.py:477
/usr/local/lib/python3.6/dist-packages/pycuda-2019.1.2-py3.6-linux-aarch64.egg/pycuda/tools.py:477: PytestUnknownMarkWarning: Unknown pytest.mark.cuda - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/latest/mark.html
return mark_test.cuda(f)

-- Docs: https://docs.pytest.org/en/latest/warnings.html
============================================== short test summary info ==============================================
FAILED test_driver.py::TestDriver::test_register_host_memory - pycuda._driver.LogicError: cuMemHostRegister failed...
===================================== 1 failed, 28 passed, 1 warning in 15.12s ======================================
`