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# Copyright (c) Meta Platforms, Inc. and affiliates
# Owner(s): ["oncall: distributed"]
import numpy as np
from torch.distributed.device_mesh import DeviceMesh, init_device_mesh
from torch.testing._internal.common_utils import run_tests
from torch.testing._internal.distributed._tensor.common_dtensor import (
DTensorTestBase,
with_comms,
)
class DTensorTestBaseUtilCPUTest(DTensorTestBase):
"""
This class tests if the basic functionalities of DTensorTestBase are
working as expected on CPU, regardless of the presence of CUDA devices.
"""
@property
def backend(self):
return "gloo"
@property
def device_type(self) -> str:
return "cpu"
@property
def world_size(self):
return np.prod(list(self.mesh_dim_sizes.values())).item()
@property
def mesh_dim_sizes(self) -> dict[str, int]:
"""Mapping from mesh dimension names to sizes."""
return {"data": 2, "fsdp": 3, "tensor": 5}
def build_device_mesh(self) -> DeviceMesh:
return init_device_mesh(
self.device_type,
mesh_shape=tuple(self.mesh_dim_sizes.values()),
mesh_dim_names=tuple(self.mesh_dim_sizes.keys()),
)
@with_comms
def test_dtensor_testbase_destroy_pg(self):
# This tests destroy_pg() correctly finishes.
device_mesh = self.build_device_mesh() # noqa: F841
if __name__ == "__main__":
run_tests()
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