ai-content-maker/.venv/Lib/site-packages/numba/cuda/tests/cudadrv/test_runtime.py

86 lines
3.0 KiB
Python

import multiprocessing
import os
from numba.core import config
from numba.cuda.cudadrv.runtime import runtime
from numba.cuda.testing import unittest, SerialMixin, skip_on_cudasim
from unittest.mock import patch
def set_visible_devices_and_check(q):
try:
from numba import cuda
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
q.put(len(cuda.gpus.lst))
except: # noqa: E722
# Sentinel value for error executing test code
q.put(-1)
if config.ENABLE_CUDASIM:
SUPPORTED_VERSIONS = (-1, -1),
else:
SUPPORTED_VERSIONS = ((11, 0), (11, 1), (11, 2), (11, 3), (11, 4), (11, 5),
(11, 6), (11, 7))
class TestRuntime(unittest.TestCase):
def test_is_supported_version_true(self):
for v in SUPPORTED_VERSIONS:
with patch.object(runtime, 'get_version', return_value=v):
self.assertTrue(runtime.is_supported_version())
@skip_on_cudasim('The simulator always simulates a supported runtime')
def test_is_supported_version_false(self):
# Check with an old unsupported version and some potential future
# versions
for v in ((10, 2), (11, 8), (12, 0)):
with patch.object(runtime, 'get_version', return_value=v):
self.assertFalse(runtime.is_supported_version())
def test_supported_versions(self):
self.assertEqual(SUPPORTED_VERSIONS, runtime.supported_versions)
class TestVisibleDevices(unittest.TestCase, SerialMixin):
def test_visible_devices_set_after_import(self):
# See Issue #6149. This test checks that we can set
# CUDA_VISIBLE_DEVICES after importing Numba and have the value
# reflected in the available list of GPUs. Prior to the fix for this
# issue, Numba made a call to runtime.get_version() on import that
# initialized the driver and froze the list of available devices before
# CUDA_VISIBLE_DEVICES could be set by the user.
# Avoid importing cuda at the top level so that
# set_visible_devices_and_check gets to import it first in its process
from numba import cuda
if len(cuda.gpus.lst) in (0, 1):
self.skipTest('This test requires multiple GPUs')
if os.environ.get('CUDA_VISIBLE_DEVICES'):
msg = 'Cannot test when CUDA_VISIBLE_DEVICES already set'
self.skipTest(msg)
ctx = multiprocessing.get_context('spawn')
q = ctx.Queue()
p = ctx.Process(target=set_visible_devices_and_check, args=(q,))
p.start()
try:
visible_gpu_count = q.get()
finally:
p.join()
# Make an obvious distinction between an error running the test code
# and an incorrect number of GPUs in the list
msg = 'Error running set_visible_devices_and_check'
self.assertNotEqual(visible_gpu_count, -1, msg=msg)
# The actual check that we see only one GPU
self.assertEqual(visible_gpu_count, 1)
if __name__ == '__main__':
unittest.main()