def setUp(self):
if self.mempool == 'MemoryAsyncPool':
if cupy.cuda.runtime.is_hip:
pytest.skip('HIP does not support async allocator')
if cupy.cuda.driver.get_build_version() < 11020:
pytest.skip('malloc_async is supported since CUDA 11.2')
if cupy.cuda.runtime.driverGetVersion() < 11030:
pytest.skip('pool statistics is supported with driver 11.3+')
self.old_pool = cupy.get_default_memory_pool()
self.pool = getattr(memory, self.mempool)()
memory.set_allocator(self.pool.malloc)
def test_none(self):
memory.set_allocator(None)
self._check_pool_not_used()
def test(self):
memory.set_allocator()
self._check_pool_not_used()
def tearDown(self):
memory.set_allocator(self.pool.malloc)
def test_set_allocator_cm(self):
new_pool = memory.MemoryPool()
new_pool2 = memory.MemoryPool()
with memory.using_allocator(new_pool.malloc):
with self.assertRaises(ValueError):
memory.set_allocator(new_pool2.malloc)
def tearDown(self):
self.pool.free_all_blocks()
memory.set_allocator(self.old_pool.malloc)
def setUp(self):
self.old_pool = cupy.get_default_memory_pool()
self.pool = memory.MemoryPool()
memory.set_allocator(self.pool.malloc)
def tearDown(self):
memory.set_allocator()
self.pool.free_all_blocks()
def setUp(self):
self.pool = memory.MemoryPool()
memory.set_allocator(self.pool.malloc)
def setUp(self):
self.old_pool = cupy.get_default_memory_pool()
self.alloc = PythonAllocator()
python_alloc = memory.PythonFunctionAllocator(self.alloc.malloc,
self.alloc.free)
memory.set_allocator(python_alloc.malloc)
def setUp(self):
self.old_pool = cupy.get_default_memory_pool()
memory.set_allocator(memory.malloc_async)
def setUp(self):
if cupy.cuda.runtime.deviceGetAttribute(
cupy.cuda.runtime.cudaDevAttrMemoryPoolsSupported, 0) == 0:
pytest.skip('malloc_async is not supported on device 0')
self.old_pool = cupy.get_default_memory_pool()
memory.set_allocator(memory.malloc_async)
