def test_plasma_store_full_raises(self):
with tempfile.NamedTemporaryFile() as new_path:
server = PlasmaStore.start(path=new_path.name, nbytes=10000)
with self.assertRaises(plasma.PlasmaStoreFull):
# 2000 floats is more than 2000 bytes
PlasmaView(
np.random.rand(10000, 1), dummy_path, 1, plasma_path=new_path.name
)
server.kill()
def test_two_servers_do_not_share_object_id_space(self):
data_server_1 = np.array([0, 1])
data_server_2 = np.array([2, 3])
server_2_path = self.path
with tempfile.NamedTemporaryFile() as server_1_path:
server = PlasmaStore.start(path=server_1_path.name, nbytes=10000)
arr1 = PlasmaView(
data_server_1, dummy_path, 1, plasma_path=server_1_path.name
)
assert len(arr1.client.list()) == 1
assert (arr1.array == data_server_1).all()
arr2 = PlasmaView(data_server_2, dummy_path, 1, plasma_path=server_2_path)
assert (arr2.array == data_server_2).all()
assert (arr1.array == data_server_1).all()
server.kill()
def cli_main(
modify_parser: Optional[Callable[[argparse.ArgumentParser], None]] = None
) -> None:
parser = options.get_training_parser()
args = options.parse_args_and_arch(parser, modify_parser=modify_parser)
cfg = convert_namespace_to_omegaconf(args)
if cfg.common.use_plasma_view:
server = PlasmaStore(path=cfg.common.plasma_path)
logger.info(f"Started plasma server pid {server.server.pid} {cfg.common.plasma_path}")
if args.profile:
with torch.cuda.profiler.profile():
with torch.autograd.profiler.emit_nvtx():
distributed_utils.call_main(cfg, main)
else:
distributed_utils.call_main(cfg, main)
def setUp(self) -> None:
self.tmp_file = tempfile.NamedTemporaryFile() # noqa: P201
self.path = self.tmp_file.name
self.server = PlasmaStore.start(path=self.path)
self.client = plasma.connect(self.path, num_retries=10)